machine learning jason bell

Dig deep into the data with a hands-on guide to machine learning with updated examples and more! Machine Learning: Hands-On for Developers and Technical Professionals provides hands-on instruction and fully-coded working examples for the most common machine learning techniques used by developers and technical professionals. The book contains a breakdown of each ML variant, explaining how it works and how it is used within certain industries, allowing readers to incorporate the presented techniques into their own work as they follow along. A core tenant of machine learning is a strong focus on data preparation, and a full exploration of the various types of learning algorithms illustrates how the proper tools can help any developer extract information and insights from existing data. The book includes a full complement of Instructor s Materials to facilitate use in the classroom, making this resource useful for students and as a professional reference. At its core, machine learning is a mathematical, algorithm-based technology that forms the basis of historical data mining and modern big data science. Scientific analysis of big data requires a working knowledge of machine learning, which forms predictions based on known properties learned from training data. Machine Learning is an accessible, comprehensive guide for the non-mathematician, providing clear guidance that allows readers to: Learn the languages of machine learning including Hadoop, Mahout, and WekaUnderstand decision trees, Bayesian networks, and artificial neural networksImplement Association Rule, Real Time, and Batch learningDevelop a strategic plan for safe, effective, and efficient machine learning By learning to construct a system that can learn from data, readers can increase their utility across industries. Machine learning sits at the core of deep dive data analysis and visualization, which is increasingly in demand as companies discover the goldmine hiding in their existing data. For the tech professional involved in data science, Machine Learning: Hands-On for Developers and Technical Professionals provides the skills and techniques required to dig deeper.

Objev podobné jako Machine Learning - Jason Bell

It s time to dispel the myth that machine learning is difficult. Grokking Machine Learning teaches you how to apply ML to your projects using only standard Python code and high school-level math. No specialist knowledge is required to tackle the hands-on exercises using readily available machine learning tools! In Grokking Machine Learning, expert machine learning engineer Luis Serrano introduces the most valuable ML techniques and teaches you how to make them work for you. Practical examples illustrate each new concept to ensure you⠙re grokking as you go. You⠙ll build models for spam detection, language analysis, and image recognition as you lock in each carefully-selected skill. Packed with easy-to-follow Python-based exercises and mini-projects, this book sets you on the path to becoming a machine learning expert. Key Features · Different types of machine learning, including supervised and unsupervised learning · Algorithms for simplifying, classifying, and splitting data · Machine learning packages and tools · Hands-on exercises with fully-explained Python code samples For readers with intermediate programming knowledge in Python or a similar language. About the technology Machine learning is a collection of mathematically-based techniques and algorithms that enable computers to identify patterns and generate predictions from data. This revolutionary data analysis approach is behind everything from recommendation systems to self-driving cars, and is transforming industries from finance to art. Luis G. Serrano has worked as the Head of Content for Artificial Intelligence at Udacity and as a Machine Learning Engineer at Google, where he worked on the YouTube recommendations system. He holds a PhD in mathematics from the University of Michigan, a Bachelor and Masters from the University of Waterloo, and worked as a postdoctoral researcher at the University of Quebec at Montreal. He shares his machine learning expertise on a YouTube channel with over 2 million views and 35 thousand subscribers, and is a frequent speaker at artificial intelligence and data science conferences.

Objev podobné jako Grokking Machine Learning - Luis Serrano

The most human-friendly book on machine learning Somewhere buried in all the systems that drive artificial intelligence, you ll find machine learningâ ”the process that allows technology to build knowledge based on data and patterns. Machine Learning For Dummies is an excellent starting point for anyone who wants deeper insight into how all this learning actually happens. This book offers an overview of machine learning and its most important practical applications. Then, you ll dive into the tools, code, and math that make machine learning goâ ”and you ll even get step-by-step instructions for testing it out on your own. For an easy-to-follow introduction to building smart algorithms, this Dummies guide is your go-to. Piece together what machine learning is, what it can do, and what it can t doLearn the basics of machine learning code and how it integrates with large datasetsUnderstand the mathematical principles that AI uses to make itself smarterConsider real-world applications of machine learning and write your own algorithms With clear explanations and hands-on instruction, Machine Learning For Dummies is a great entry-level resource for developers looking to get started with AI and machine learning.

Objev podobné jako Machine Learning For Dummies - John Paul Mueller, Luca Massaron

MACHINE LEARNING FOR BUSINESS ANALYTICS Machine learning â ”also known as data mining or data analyticsâ ” is a fundamental part of data science. It is used by organizations in a wide variety of arenas to turn raw data into actionable information. Machine Learning for Business Analytics: Concepts, Techniques, and Applications in R provides a comprehensive introduction and an overview of this methodology. This best-selling textbook covers both statistical and machine learning algorithms for prediction, classification, visualization, dimension reduction, rule mining, recommendations, clustering, text mining, experimentation, and network analytics. Along with hands-on exercises and real-life case studies, it also discusses managerial and ethical issues for responsible use of machine learning techniques. This is the second R edition of Machine Learning for Business Analytics. This edition also includes: A new co-author, Peter Gedeck, who brings over 20 years of experience in machine learning using RAn expanded chapter focused on discussion of deep learning techniquesA new chapter on experimental feedback techniques including A/B testing, uplift modeling, and reinforcement learningA new chapter on responsible data scienceUpdates and new material based on feedback from instructors teaching MBA, Masters in Business Analytics and related programs, undergraduate, diploma and executive courses, and from their studentsA full chapter devoted to relevant case studies with more than a dozen cases demonstrating applications for the machine learning techniquesEnd-of-chapter exercises that help readers gauge and expand their comprehension and competency of the material presentedA companion website with more than two dozen data sets, and instructor materials including exercise solutions, slides, and case solutions This textbook is an ideal resource for upper-level undergraduate and graduate level courses in data science, predictive analytics, and business analytics. It is also an excellent reference for analysts, researchers, and data science practitioners working with quantitative data in management, finance, marketing, operations management, information systems, computer science, and information technology.

Objev podobné jako Machine Learning for Business Analytics - Peter Gedeck, Galit Shmueli, Peter C. Bruce, Nitin R. Patel, Inbal Yahav

Develop a mathematical intuition around machine learning algorithms to improve model performance and effectively troubleshoot complex ML problems. For intermediate machine learning practitioners familiar with linear algebra, probability, and basic calculus. Machine Learning Algorithms in Depth dives into the design and underlying principles of some of the most exciting machine learning (ML) algorithms in the world today. With a particular emphasis on probability-based algorithms, you will learn the fundamentals of Bayesian inference and deep learning. You will also explore the core data structures and algorithmic paradigms for machine learning. You will explore practical implementations of dozens of ML algorithms, including: Monte Carlo Stock Price Simulation Image Denoising using Mean-Field Variational Inference EM algorithm for Hidden Markov Models Imbalanced Learning, Active Learning and Ensemble Learning Bayesian Optimisation for Hyperparameter Tuning Dirichlet Process K-Means for Clustering Applications Stock Clusters based on Inverse Covariance Estimation Energy Minimisation using Simulated Annealing Image Search based on ResNet Convolutional Neural Network Anomaly Detection in Time-Series using Variational Autoencoders Each algorithm is fully explored with both math and practical implementations so you can see how they work and put into action. About the technology Fully understanding how machine learning algorithms function is essential for any serious ML engineer. This vital knowledge lets you modify algorithms to your specific needs, understand the trade-offs when picking an algorithm for a project, and better interpret and explain your results to your stakeholders. This unique guide will take you from relying on one-size-fits-all ML libraries to developing your own algorithms to solve your business needs.

Objev podobné jako Machine Learning Algorithms in Depth - Vadim Smolyakov

MACHINE LEARNING FOR BUSINESS ANALYTICS Machine learning⠔also known as data mining or predictive analytics⠔is a fundamental part of data science. It is used by organizations in a wide variety of arenas to turn raw data into actionable information. Machine Learning for Business Analytics: Concepts, Techniques, and Applications with Analytic Solver® Data Mining provides a comprehensive introduction and an overview of this methodology. The fourth edition of this best-selling textbook covers both statistical and machine learning algorithms for prediction, classification, visualization, dimension reduction, rule mining, recommendations, clustering, text mining, experimentation, time series forecasting and network analytics. Along with hands-on exercises and real-life case studies, it also discusses managerial and ethical issues for responsible use of machine learning techniques. This fourth edition of Machine Learning for Business Analytics also includes: An expanded chapter on deep learningA new chapter on experimental feedback techniques, including A/B testing, uplift modeling, and reinforcement learningA new chapter on responsible data scienceUpdates and new material based on feedback from instructors teaching MBA, Masters in Business Analytics and related programs, undergraduate, diploma and executive courses, and from their studentsA full chapter devoted to relevant case studies with more than a dozen cases demonstrating applications for the machine learning techniquesEnd-of-chapter exercises that help readers gauge and expand their comprehension and competency of the material presentedA companion website with more than two dozen data sets, and instructor materials including exercise solutions, slides, and case solutions This textbook is an ideal resource for upper-level undergraduate and graduate level courses in data science, predictive analytics, and business analytics. It is also an excellent reference for analysts, researchers, and data science practitioners working with quantitative data in management, finance, marketing, operations management, information systems, computer science, and information technology.

Objev podobné jako Machine Learning for Business Analytics - Galit Shmueli, Peter C. Bruce, Nitin R. Patel, Kuber R. Deokar

MACHINE LEARNING FOR BUSINESS ANALYTICS An up-to-date introduction to a market-leading platform for data analysis and machine learning Machine Learning for Business Analytics: Concepts, Techniques, and Applications with JMP Pro, 2nd ed. offers an accessible and engaging introduction to machine learning. It provides concrete examples and case studies to educate new users and deepen existing usersâ ™ understanding of their data and their business. Fully updated to incorporate new topics and instructional material, this remains the only comprehensive introduction to this crucial set of analytical tools specifically tailored to the needs of businesses. Machine Learning for Business Analytics: Concepts, Techniques, and Applications with JMP Pro, 2nd ed. readers will also find: Updated material which improves the bookâ ™s usefulness as a reference for professionals beyond the classroomFour new chapters, covering topics including Text Mining and Responsible Data ScienceAn updated companion website with data sets and other instructor resources: www.jmp.com/dataminingbookA guide to JMP Pro s new features and enhanced functionality Machine Learning for Business Analytics: Concepts, Techniques, and Applications with JMP Pro, 2nd ed. is ideal for students and instructors of business analytics and data mining classes, as well as data science practitioners and professionals in data-driven industries.

Objev podobné jako Machine Learning for Business Analytics - Galit Shmueli, Peter C. Bruce, Nitin R. Patel, Muralidhara Anandamurthy, Mia L. Stephens

An advanced book for researchers and graduate students working in machine learning and statistics who want to learn about deep learning, Bayesian inference, generative models, and decision making under uncertainty.An advanced counterpart to Probabilistic Machine Learning: An Introduction, this high-level textbook provides researchers and graduate students detailed coverage of cutting-edge topics in machine learning, including deep generative modeling, graphical models, Bayesian inference, reinforcement learning, and causality. This volume puts deep learning into a larger statistical context and unifies approaches based on deep learning with ones based on probabilistic modeling and inference. With contributions from top scientists and domain experts from places such as Google, DeepMind, Amazon, Purdue University, NYU, and the University of Washington, this rigorous book is essential to understanding the vital issues in machine learning.Covers generation of high dimensional outputs, such as images, text, and graphs Discusses methods for discovering insights about data, based on latent variable models Considers training and testing under different distributionsExplores how to use probabilistic models and inference for causal inference and decision makingFeatures online Python code accompanimentÂ

Objev podobné jako Probabilistic Machine Learning - Kevin P. Murphy

The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability and statistics. These topics are traditionally taught in disparate courses, making it hard for data science or computer science students, or professionals, to efficiently learn the mathematics. This self-contained textbook bridges the gap between mathematical and machine learning texts, introducing the mathematical concepts with a minimum of prerequisites. It uses these concepts to derive four central machine learning methods: linear regression, principal component analysis, Gaussian mixture models and support vector machines. For students and others with a mathematical background, these derivations provide a starting point to machine learning texts. For those learning the mathematics for the first time, the methods help build intuition and practical experience with applying mathematical concepts. Every chapter includes worked examples and exercises to test understanding. Programming tutorials are offered on the book s web site.

Objev podobné jako Mathematics for Machine Learning - A. Aldo Faisal, Marc Peter Deisenroth, Cheng Soon Ong

This modern and self-contained book offers a clear and accessible introduction to the important topic of machine learning with neural networks. In addition to describing the mathematical principles of the topic, and its historical evolution, strong connections are drawn with underlying methods from statistical physics and current applications within science and engineering. Closely based around a well-established undergraduate course, this pedagogical text provides a solid understanding of the key aspects of modern machine learning with artificial neural networks, for students in physics, mathematics, and engineering. Numerous exercises expand and reinforce key concepts within the book and allow students to hone their programming skills. Frequent references to current research develop a detailed perspective on the state-of-the-art in machine learning research.

Objev podobné jako Machine Learning with Neural Networks - Bernhard Mehlig

With its intuitive yet rigorous approach to machine learning, this text provides students with the fundamental knowledge and practical tools needed to conduct research and build data-driven products. The authors prioritize geometric intuition and algorithmic thinking, and include detail on all the essential mathematical prerequisites, to offer a fresh and accessible way to learn. Practical applications are emphasized, with examples from disciplines including computer vision, natural language processing, economics, neuroscience, recommender systems, physics, and biology. Over 300 color illustrations are included and have been meticulously designed to enable an intuitive grasp of technical concepts, and over 100 in-depth coding exercises (in Python) provide a real understanding of crucial machine learning algorithms. A suite of online resources including sample code, data sets, interactive lecture slides, and a solutions manual are provided online, making this an ideal text both for graduate courses on machine learning and for individual reference and self-study.

Objev podobné jako Machine Learning Refined - Aggelos K. Katsaggelos, Reza Borhani, Jeremy Watt

Machine learning has become an integral part of many commercial applications and research projects, but this field is not exclusive to large companies with extensive research teams. If you use Python, even as a beginner, this book will teach you practical ways to build your own machine learning solutions.

Objev podobné jako Introduction to Machine Learning with Python - Andreas C. Mueller

This class-tested textbook will provide in-depth coverage of the fundamentals of machine learning, with an exploration of applications in information security. The book will cover malware detection, cryptography, and intrusion detection. The book will be relevant for students in machine learning and computer security courses.

Objev podobné jako Introduction to Machine Learning with Applications in Information Security - Mark Stamp

In surrealist artist Paul Klee s The Twittering Machine, the birdsong of a diabolical machine acts as bait to lure humankind into a pit of damnation. Leading political writer and broadcaster Richard Seymour argues that this is a chilling metaphor for relationship with social media. Former social media executives tell us that the system is an addiction-machine. Like drug addicts, we are users, waiting for our next hit as we like, comment and share. We write to the machine as individuals, but it responds by aggregating our fantasies, desires and frailties into data, and returning them to us as a commodity experience. Through journalism, psychoanalytic reflection and interviews with users, developers, security experts and others, Seymour probes the human side of this machine, asking what we re getting out of it, and what we re getting into.

Objev podobné jako The Twittering Machine - Richard Seymour Bell

In surrealist artist Paul Klee s The Twittering Machine, the bird-song of a diabolical machine acts as bait to lure humankind into a pit of damnation. Leading political writer and broadcaster Richard Seymour argues that this is a chilling metaphor for our relationship with social media. Former social media executives tell us that the system is an addiction-machine. We are users, waiting for our next hit as we like, comment and share. We write to the machine as individuals, but it responds by aggregating our fantasies, desires and frailties into data, and returning them to us as a commodity experience. Through journalism, psychoanalytic reflection and insights from users, developers, security experts and others, Seymour probes the human side of the machine, asking what we re getting out of it, and what we re getting into.

Objev podobné jako Twittering Machine - Richard Seymour Bell

Written by more than sixty experts in the area, this book reviews cutting-edge practices in machine learning for financial markets, and explores connections with data science and more traditional approaches. This is an invaluable resource for researchers and graduate students in financial engineering, as well as practitioners in the sector.

Objev podobné jako Machine Learning and Data Sciences for Financial Markets

Prepares students for Microsoft Exam 70-774-and helps them demonstrate real-world mastery of performing key data science activities with Azure Machine Learning services. Designed for experienced IT students ready to advance their status, Exam Ref focuses on the critical thinking and decision-making acumen needed for success at the MCSA level.

Objev podobné jako Exam Ref 70-774 Perform Cloud Data Science with Azure Machine Learning - Ginger Grant, Tamanaco Francisquez, Pau Sempere, Paco Gonzalez, Julio Granado

Ez a 3,5 literes, téglalap alakú, fekete sütőedény a Revol Belle Cuisine sorozatból kiváló minőségű francia porcelánból készült. Hőálló, nem szívó felületű, és sütőben, mikróban, fagyasztóban egyaránt biztonságosan használható. Többfunkciós: alkalmas lasagne, rakott ételek, sült zöldségek és húsok készítésére.

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Objev podobné jako Obdélníková zapékací mísa V 3,5 l matná černá Belle Cuisine REVOL

A Belle Cuisine REVOL 1,7 literes téglalap alakú sütőtál porcelánból készült, elegáns megjelenésű. Többféle sütött étel elkészítésére alkalmas, például lasagne, sült zöldség vagy rakott ételek. Könnyen tisztítható, és asztalra téve díszítő elemként is funkcionál.

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Objev podobné jako Obdélníková zapékací mísa V 1,7 l Belle Cuisine REVOL

The first edition of Deep Learning with Python is one of the best books on the subject. The second edition made it even better. - Todd Cook The bestseller revised! Deep Learning with Python, Second Edition is a comprehensive introduction to the field of deep learning using Python and the powerful Keras library. Written by Google AI researcher François Chollet, the creator of Keras, this revised edition has been updated with new chapters, new tools, and cutting-edge techniques drawn from the latest research. You ll build your understanding through practical examples and intuitive explanations that make the complexities of deep learning accessible and understandable. about the technologyMachine learning has made remarkable progress in recent years. We ve gone from near-unusable speech recognition, to near-human accuracy. From machines that couldn t beat a serious Go player, to defeating a world champion. Medical imaging diagnostics, weather forecasting, and natural language question answering have suddenly become tractable problems. Behind this progress is deep learning⠔a combination of engineering advances, best practices, and theory that enables a wealth of previously impossible smart applications across every industry sector about the bookDeep Learning with Python introduces the field of deep learning using the Python language and the powerful Keras library. You ll learn directly from the creator of Keras, François Chollet, building your understanding through intuitive explanations and practical examples. Updated from the original bestseller with over 50% new content, this second edition includes new chapters, cutting-edge innovations, and coverage of the very latest deep learning tools. You ll explore challenging concepts and practice with applications in computer vision, natural-language processing, and generative models. By the time you finish, you ll have the knowledge and hands-on skills to apply deep learning in your own projects. what s insideDeep learning from first principlesImage-classification, imagine segmentation, and object detectionDeep learning for natural language processingTimeseries forecastingNeural style transfer, text generation, and image generation about the readerReaders need intermediate Python skills. No previous experience with Keras, TensorFlow, or machine learning is required. about the authorFrançois Chollet works on deep learning at Google in Mountain View, CA. He is the creator of the Keras deep-learning library, as well as a contributor to the TensorFlow machine-learning framework. He also does AI research, with a focus on abstraction and reasoning. His papers have been published at major conferences in the field, including the Conference on Computer Vision and Pattern Recognition (CVPR), the Conference and Workshop on Neural Information Processing Systems (NIPS), the International Conference on Learning Representations (ICLR), and others.

Objev podobné jako Deep Learning with Python - François Chollet

If you ve been curious about artificial intelligence and machine learning but didn t know where to start, this is the book you ve been waiting for. Focusing on the subfield of machine learning known as deep learning, it explains core concepts and gives you the foundation you need to start building your own models. Rather than simply outlining recipes for using existing toolkits, Practical Deep Learning, 2nd Edition teaches you the why of deep learning and will inspire you to explore further. All you need is basic familiarity with computer programming and high school math - the book will cover the rest. After an introduction to Python, you ll move through key topics like how to build a good training dataset, work with the scikit-learn and Keras libraries, and evaluate your models performance. You ll also learn: How to use classic machine learning models like k-Nearest Neighbours, Random Forests, and Support Vector Machines, How neural networks work and how they re trained, How to use convolutional neural networks, How to develop a successful deep learning model from scratch. You ll conduct experiments along the way, building to a final case study that incorporates everything you ve learned. This second edition is thoroughly revised and updated, and adds six new chapters to further your exploration of deep learning from basic CNNs to more advanced models. New chapters cover fine tuning, transfer learning, object detection, semantic segmentation, multilabel classification, self-supervised learning, generative adversarial networks, and large language models. The perfect introduction to this dynamic, ever-expanding field, Practical Deep Learning, 2nd Edition will give you the skills and confidence to dive into your own machine learning projects.

Objev podobné jako Practical Deep Learning, 2nd Edition - Ronald T. Kneusel

Written for developers with some understanding of deep learning algorithms. Experience with reinforcement learning is not required. Grokking Deep Reinforcement Learning introduces this powerful machine learning approach, using examples, illustrations, exercises, and crystal-clear teaching. You ll love the perfectly paced teaching and the clever, engaging writing style as you dig into this awesome exploration of reinforcement learning fundamentals, effective deep learning techniques, and practical applications in this emerging field. We all learn through trial and error. We avoid the things that cause us to experience pain and failure. We embrace and build on the things that give us reward and success. This common pattern is the foundation of deep reinforcement learning: building machine learning systems that explore and learn based on the responses of the environment. â ¢ Foundational reinforcement learning concepts and methods â ¢ The most popular deep reinforcement learning agents solving high-dimensional environments â ¢ Cutting-edge agents that emulate human-like behavior and techniques for artificial general intelligence Deep reinforcement learning is a form of machine learning in which AI agents learn optimal behavior on their own from raw sensory input. The system perceives the environment, interprets the results of its past decisions and uses this information to optimize its behavior for maximum long-term return.

Objev podobné jako Grokking Deep Reinforcement Learning - Miguel Morales

NVIDIA s Full-Color Guide to Deep Learning: All You Need to Get Started and Get Results To enable everyone to be part of this historic revolution requires the democratization of AI knowledge and resources. This book is timely and relevant towards accomplishing these lofty goals. -- From the foreword by Dr. Anima Anandkumar, Bren Professor, Caltech, and Director of ML Research, NVIDIA Ekman uses a learning technique that in our experience has proven pivotal to successâ ”asking the reader to think about using DL techniques in practice. His straightforward approach is refreshing, and he permits the reader to dream, just a bit, about where DL may yet take us. -- From the foreword by Dr. Craig Clawson, Director, NVIDIA Deep Learning Institute Deep learning (DL) is a key component of today s exciting advances in machine learning and artificial intelligence. Learning Deep Learning is a complete guide to DL. Illuminating both the core concepts and the hands-on programming techniques needed to succeed, this book is ideal for developers, data scientists, analysts, and others--including those with no prior machine learning or statistics experience.After introducing the essential building blocks of deep neural networks, such as artificial neurons and fully connected, convolutional, and recurrent layers, Magnus Ekman shows how to use them to build advanced architectures, including the Transformer. He describes how these concepts are used to build modern networks for computer vision and natural language processing (NLP), including Mask R-CNN, GPT, and BERT. And he explains how a natural language translator and a system generating natural language descriptions of images.Throughout, Ekman provides concise, well-annotated code examples using TensorFlow with Keras. Corresponding PyTorch examples are provided online, and the book thereby covers the two dominating Python libraries for DL used in industry and academia. He concludes with an introduction to neural architecture search (NAS), exploring important ethical issues and providing resources for further learning. Explore and master core concepts: perceptrons, gradient-based learning, sigmoid neurons, and back propagation See how DL frameworks make it easier to develop more complicated and useful neural networks Discover how convolutional neural networks (CNNs) revolutionize image classification and analysis Apply recurrent neural networks (RNNs) and long short-term memory (LSTM) to text and other variable-length sequences Master NLP with sequence-to-sequence networks and the Transformer architecture Build applications for natural language translation and image captioning NVIDIA s invention of the GPU sparked the PC gaming market. The company s pioneering work in accelerated computing--a supercharged form of computing at the intersection of computer graphics, high-performance computing, and AI--is reshaping trillion-dollar industries, such as transportation, healthcare, and manufacturing, and fueling the growth of many others.Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.

Objev podobné jako Learning Deep Learning - Magnus Ekman

Humans learn best from feedbackâ ”we are encouraged to take actions that lead to positive results while deterred by decisions with negative consequences. This reinforcement process can be applied to computer programs allowing them to solve more complex problems that classical programming cannot. Deep Reinforcement Learning in Action teaches you the fundamental concepts and terminology of deep reinforcement learning, along with the practical skills and techniques youâ ™ll need to implement it into your own projects. Key features â ¢ Structuring problems as Markov Decision Processes â ¢ Popular algorithms such Deep Q-Networks, Policy Gradient method and Evolutionary Algorithms and the intuitions that drive them â ¢ Applying reinforcement learning algorithms to real-world problems Audience Youâ ™ll need intermediate Python skills and a basic understanding of deep learning. About the technology Deep reinforcement learning is a form of machine learning in which AI agents learn optimal behavior from their own raw sensory input. The system perceives the environment, interprets the results of its past decisions, and uses this information to optimize its behavior for maximum long-term return. Deep reinforcement learning famously contributed to the success of AlphaGo but thatâ ™s not all it can do! Alexander Zai is a Machine Learning Engineer at Amazon AI working on MXNet that powers a suite of AWS machine learning products. Brandon Brown is a Machine Learning and Data Analysis blogger at outlace.com committed to providing clear teaching on difficult topics for newcomers.

Objev podobné jako Deep Reinforcement Learning in Action - Alexander Zai, Brandon Brown

An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance to marketing to astrophysics in the past twenty years. This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, clustering, deep learning, survival analysis, multiple testing, and more. Color graphics and real-world examples are used to illustrate the methods presented. Since the goal of this textbook is to facilitate the use of these statistical learning techniques by practitioners in science, industry, and other fields, each chapter contains a tutorial on implementing the analyses and methods presented in R, an extremely popular open source statistical software platform.Two of the authors co-wrote The Elements of Statistical Learning (Hastie, Tibshirani and Friedman, 2nd edition 2009), a popular reference book for statistics and machine learning researchers. An Introduction to Statistical Learning covers many of the same topics, but at a level accessible to a much broader audience. This book is targeted at statisticians and non-statisticians alike who wish to use cutting-edge statistical learning techniques to analyze their data. The text assumes only a previous course in linear regression and no knowledge of matrix algebra.This Second Edition features new chapters on deep learning, survival analysis, and multiple testing, as well as expanded treatments of naïve Bayes, generalized linear models, Bayesian additive regression trees, and matrix completion. R code has been updated throughout to ensure compatibility.

Objev podobné jako An Introduction to Statistical Learning - Trevor Hastie, Robert Tibshirani, Daniela Witten, Gareth James

Humans do a great job of reading text, identifying key ideas, summarizing, making connections, and other tasks that require comprehension and context. Recent advances in deep learning make it possible for computer systems to achieve similar results. Deep Learning for Natural Language Processing teaches you to apply deep learning methods to natural language processing (NLP) to interpret and use text effectively. In this insightful book, (NLP) expert Stephan Raaijmakers distills his extensive knowledge of the latest state-of-the-art developments in this rapidly emerging field. Key features An overview of NLP and deep learning â ¢ Models for textual similarity â ¢ Deep memory-based NLP â ¢ Semantic role labeling â ¢ Sequential NLP Audience For those with intermediate Python skills and general knowledge of NLP. No hands-on experience with Keras or deep learning toolkits is required. About the technology Natural language processing is the science of teaching computers to interpret and process human language. Recently, NLP technology has leapfrogged to exciting new levels with the application of deep learning, a form of neural network-based machine learning Stephan Raaijmakers is a senior scientist at TNO and holds a PhD in machine learning and text analytics. Heâ ™s the technical coordinator of two large European Union-funded research security-related projects. Heâ ™s currently anticipating an endowed professorship in deep learning and NLP at a major Dutch university.

Objev podobné jako Deep Learning for Natural Language Processing - Stephan Raaijmakers

Artificial Intelligence is the most exciting technology of the century, and Deep Learning is, quite literally, the ⠜brain⠝ behind the world⠙s smartest Artificial Intelligence systems out there. Grokking Deep Learning is the perfect place to begin the deep learning journey. Rather than just learning the ⠜black box⠝ API of some library or framework, readers will actually understand how to build these algorithms completely from scratch. Key Features:Build neural networks that can see and understand images Build an A.I. that will learn to defeat you in a classic Atari gameHands-on Learning Written for readers with high school-level math and intermediateprogramming skills. Experience with Calculus is helpful but notrequired. ABOUT THE TECHNOLOGY Deep Learning is a subset of Machine Learning, which is a field dedicated to the study and development of machines that can learn, often with the goal of eventually attaining general artificial intelligence.

Objev podobné jako Grokking Deep Learning - Andrew W Trask

Every other day we hear about new ways to put deep learning to good use: improved medical imaging, accurate credit card fraud detection, long range weather forecasting, and more. PyTorch puts these superpowers in your hands, providing a comfortable Python experience that gets you started quickly and then grows with you as you, and your deep learning skills, become more sophisticated. Deep Learning with PyTorch teaches you how to implement deep learning algorithms with Python and PyTorch. This book takes you into a fascinating case study: building an algorithm capable of detecting malignant lung tumors using CT scans. As the authors guide you through this real example, you ll discover just how effective and fun PyTorch can be. Key features â ¢ Using the PyTorch tensor API â ¢ Understanding automatic differentiation in PyTorch â ¢ Training deep neural networks â ¢ Monitoring training and visualizing results â ¢ Interoperability with NumPy Audience Written for developers with some knowledge of Python as well as basic linear algebra skills. Some understanding of deep learning will be helpful, however no experience with PyTorch or other deep learning frameworks is required. About the technology PyTorch is a machine learning framework with a strong focus on deep neural networks. Because it emphasizes GPU-based acceleration, PyTorch performs exceptionally well on readily-available hardware and scales easily to larger systems. Eli Stevens has worked in Silicon Valley for the past 15 years as a software engineer, and the past 7 years as Chief Technical Officer of a startup making medical device software. Luca Antiga is co-founder and CEO of an AI engineering company located in Bergamo, Italy, and a regular contributor to PyTorch.

Objev podobné jako Deep Learning with PyTorch - Eli Stevens, Luca Antiga

The first comprehensive introduction to Multi-Agent Reinforcement Learning (MARL), covering MARLÂ’s models, solution concepts, algorithmic ideas, technical challenges, and modern approaches.Multi-Agent Reinforcement Learning (MARL), an area of machine learning in which a collective of agents learn to optimally interact in a shared environment, boasts a growing array of applications in modern life, from autonomous driving and multi-robot factories to automated trading and energy network management. This text provides a lucid and rigorous introduction to the models, solution concepts, algorithmic ideas, technical challenges, and modern approaches in MARL. The book first introduces the fieldÂ’s foundations, including basics of reinforcement learning theory and algorithms, interactive game models, different solution concepts for games, and the algorithmic ideas underpinning MARL research. It then details contemporary MARL algorithms which leverage deep learning techniques, covering ideas such as centralized training with decentralized execution, value decomposition, parameter sharing, and self-play. The book comes with its own MARL codebase written in Python, containing implementations of MARL algorithms that are self-contained and easy to read. Technical content is explained in easy-to-understand language and illustrated with extensive examples, illuminating MARL for newcomers while offering high-level insights for more advanced readers. First textbook to introduce the foundations and applications of MARL, written by experts in the fieldIntegrates reinforcement learning, deep learning, and game theoryPractical focus covers considerations for running experiments and describes environments for testing MARL algorithmsExplains complex concepts in clear and simple languageClassroom-tested, accessible approach suitable for graduate students and professionals across computer science, artificial intelligence, and robotics Resources include code and slidesÂ

Objev podobné jako Multi-Agent Reinforcement Learning - Filippos Christianos, Stefano V. Albrecht

Bridge the gap between modern machine learning and real-world biology with this practical, project-driven guide. Whether your background is in biology, software engineering, or data science, Deep Learning for Biology gives you the tools to develop deep learning models for tackling a wide range of biological problems.

Objev podobné jako Deep Learning for Biology - Charles Ravarani, Natasha Latysheva

With this hands-on guide, applied data scientists, machine learning engineers, and practitioners will learn how to build an E2E graph learning pipeline. You ll explore core challenges at each pipeline stage, from data acquisition and representation to real-time inference and feedback loop retraining.

Objev podobné jako Scaling Graph Learning for the Enterprise - Ahmed Menshawy, Sameh Mohamed, Maraim Rizk Masoud

Generative AI is the hottest topic in tech. This practical book teaches machine learning engineers and data scientists how to use TensorFlow and Keras to create impressive generative deep learning models from scratch

Objev podobné jako Generative Deep Learning - David Foster

Updated to emphasize new features in Spark 2.4., this second edition shows data engineers and scientists why structure and unification in Spark matters. Specifically, this book explains how to perform simple and complex data analytics and employ machine-learning algorithms.

Objev podobné jako Learning Spark - Denny Lee, Brooke Wenig, Tathagata Das, Jules Damji

A stunning visual autobiography of two crazy-talented besties, bestselling and award-winning author Jason Reynolds and painter Jason Griffin, who could never be who they are singularly if they weren’t who they were together.Once upon a time in America, there were two Jasons. Jason Reynolds and Jason Griffin. One a poet. One an artist. One Black. One white. Two voices. One journey in mind: to move to New York, the city of dreams, to make their own dreams come true. Willing to have a life not un-hard, so long as it wasn’t unhappy. Willing to let the city swallow them whole, so long as it gives them their chance. They had each other. “What if painting was a sin, and the poetry became taboo. And no one ever clapped for me again. My question is, would you?” They clapped. Oh, they clapped. And aren’t we glad?

Objev podobné jako My Name Is Jason. Mine Too. - Jason Reynolds, Jason Griffin

Sada obsahuje činky o hmotnosti 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 12, 14, 16, 18 a 20 kg, celková hmotnost 135 kg, plastové tělo, cementová výplň, vinylová rukojeť.. Sada činek inSPORTline Vin-Bell Dark 1-20 kg je ucelená řada tzv. zvonových činek, která se skládá z 15 ks závaží o celkové hmotnosti 135 kg. Sadu činek tvoří jednotlivé hmotnosti 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 12, 14, 16, 18 a 20 kg. Činky inSPORTline Vin-Bell Dark jsou z vnější strany vyrobeny z kvalitního plastového materiálu, jehož vnitřní část tvoří cementová výplň. Hlavní předností kombinace plast/cement je nízká cena, což ocení zejména uživatelé domácích posiloven. Díky černé barvě nejsou vidět oděrky ani škrábance z intenzivnějšího používání. Odolné a pevné vinylové madlo zaručuje bezpečné a komfortní posilování. Činky inSPORTline Vin-Bell Dark jsou vhodné pro všechny výkonnostní i věkové kategorie. Tzv. zvonové činky jsou určené zejména k rozvoji síly a lze s nimi posilovat prakticky kdekoli. Při nákupu získáte jako dárek video trénink, který vám pomůže dosáhnout těch nejlepších výsledků, ale především uvidíte cviky tak, jak se mají správně cvičit. Díky těmto vlastnostem a především příznivé ceně je sada činek inSPORTline Vin-Bell Dark oblíbeným posilovacím vybavením v každé domácí i klubové posilovně.Technický popis: cenově zvýhodněná sada praktická černá barva počet závaží: 15 ks přehledné značení hmotnosti na těle činky povrch odolný proti vlhkosti a opotřebení materiál výplně: cement povrchová úprava: plast rukojeť: vinylová celková hmotnost: 135 kg učené pro domácí i klubové využití poznámka: barevné zpracování činek se může lišit, obrázek je ilustrační Sada obsahuje: 1x 1 kg činka inSPORTline Vin-Bell Dark (náhled) 1x 2 kg činka inSPORTline Vin-Bell Dark (náhled) 1x 3 kg činka inSPORTline Vin-Bell Dark (náhled) 1x 4 kg činka inSPORTline Vin-Bell Dark (náhled) 1x 5 kg činka inSPORTline Vin-Bell Dark (náhled) 1x 6 kg činka inSPORTline Vin-Bell Dark (náhled) 1x 7 kg činka inSPORTline Vin-Bell Dark (náhled) 1x 8 kg činka inSPORTline Vin-Bell Dark (náhled) 1x 9 kg činka inSPORTline Vin-Bell Dark (náhled) 1x 10 kg činka inSPORTline Vin-Bell Dark (náhled) 1x 12 kg činka inSPORTline Vin-Bell Dark (náhled) 1x 14 kg činka inSPORTline Vin-Bell Dark (náhled) 1x 16 kg činka inSPORTline Vin-Bell Dark (náhled) 1x 18 kg činka inSPORTline Vin-Bell Dark (náhled) 1x 20 kg činka inSPORTline Vin-Bell Dark (náhled)

Objev podobné jako Sada činek inSPORTline Vin-Bell Dark 1-20 kg

Sada obsahuje činky o hmotnosti 2, 3, 4, 6, 8, 10, 12, 14, 16, 18 a 20 kg.. Sada činek inSPORTline Vin-Bell 2-20 kg je ucelená řada tzv. zvonových činek, která se skládá z 11 ks závaží o celkové hmotnosti 113 kg. Sadu činek tvoří jednotlivé hmotnosti 2, 3, 4, 6, 8, 10, 12, 14, 16, 18 a 20 kg. Činky inSPORTline Vin-Bell jsou z vnější strany vyrobeny z kvalitního plastového materiálu, jehož vnitřní část tvoří cementová výplň. Hlavní předností kombinace plast/cement je nízká cena, což ocení zejména uživatelé domácích posiloven. Ve spodní straně je činka inSPORTline Vin-Bell opatřena drobnými gumovými podložkami, které zajišťují stabilitu činky při jejím odložení. Činky inSPORTline Vin-Bell jsou vhodné pro všechny výkonnostní i věkové kategorie. Tzv. zvonové činky jsou určené zejména k rozvoji síly a lze s nimi posilovat prakticky kdekoli. Při nákupu získáte jako dárek – video trénink, který vám pomůže dosáhnout těch nejlepších výsledků, ale především uvidíte cviky tak, jak se mají správně cvičit. Díky těmto vlastnostem a především příznivé ceně je sada činek inSPORTline Vin-Bell oblíbeným posilovacím vybavením v každé domácí i klubové posilovně.Technický popis: cenově zvýhodněná sada jednoduchý barevný design počet závaží: 11 ks přehledné značení hmotnosti na těle činky povrch odolný proti vlhkosti a opotřebení materiál výplně: cement povrchová úprava: plast rukojeť: plastová celková hmotnost: 113 kg učené pro domácí i klubové využití poznámka: barevné zpracování činek se může lišit, obrázek je ilustrační Sada obsahuje: 1x 2 kg činka inSPORTline Vin-Bell (náhled) 1x 3 kg činka inSPORTline Vin-Bell (náhled) 1x 4 kg činka inSPORTline Vin-Bell (náhled) 1x 6 kg činka inSPORTline Vin-Bell (náhled) 1x 8 kg činka inSPORTline Vin-Bell (náhled) 1x 10 kg činka inSPORTline Vin-Bell (náhled) 1x 12 kg činka inSPORTline Vin-Bell (náhled) 1x 14 kg činka inSPORTline Vin-Bell (náhled) 1x 16 kg činka inSPORTline Vin-Bell (náhled) 1x 18 kg činka inSPORTline Vin-Bell (náhled) 1x 20 kg činka inSPORTline Vin-Bell (náhled)

Objev podobné jako Sada činek inSPORTline Vin-Bell 2-20 kg

DVD film Mach a Šebestová na prázdninách [1999]. Český večerníček. Dolby Digital. Celovečerní film vychází ze seriálu a je doplněn novými příhodami této populární dvojice MACHA A ŠEBESTOVÉ. Celovečerní film vychází ze seriálu a je doplněn novými příhodami této populární dvojice MACHA A ŠEBESTOVÉ. DVD obsahuje epizody: 1-Jak Mach a Šebestová jeli na prázdniny•2-Jak Jonatán chytil blechu•3-Jak Mach a Šebestová udělali z dědečka tarzana•4-Jak Mach a Šebestová prožili deštivé odpoledne•5-Jak Mach a Šebestová udělali z malíře Kolouška žáka Leonarda da Vinci•6-Jak Mach a Šebestová poslali lístek paní Kadrnožkové•7-Jak Mach a Šebestová potrestali paní Tláskalovou•8-Jak Mach a Šebestová zavinili zmizení Lukáše Tůmy•9-Jak Mach a Šebestová splnili životní sen paní Janderkové•10-Jak Šebestovi přijeli za dcerou na víkend•11-Jak Mach a Šebestová navštívili cirkus•12-Jak se stal Jonatán hrdinou dne•13-Jak se Mach a Šebestová vrátili z prázdnin

Objev podobné jako Mach a Šebestová na prázdninách (DVD)

DVD film Mach a Šebestová na prázdninách [1999]. Český večerníček. Dolby Digital. Papírový obal. Celovečerní film vychází ze seriálu a je doplněn novými příhodami této populární dvojice MACHA A ŠEBESTOVÉ. Celovečerní film vychází ze seriálu a je doplněn novými příhodami této populární dvojice MACHA A ŠEBESTOVÉ. DVD obsahuje epizody: 1-Jak Mach a Šebestová jeli na prázdniny•2-Jak Jonatán chytil blechu•3-Jak Mach a Šebestová udělali z dědečka tarzana•4-Jak Mach a Šebestová prožili deštivé odpoledne•5-Jak Mach a Šebestová udělali z malíře Kolouška žáka Leonarda da Vinci•6-Jak Mach a Šebestová poslali lístek paní Kadrnožkové•7-Jak Mach a Šebestová potrestali paní Tláskalovou•8-Jak Mach a Šebestová zavinili zmizení Lukáše Tůmy•9-Jak Mach a Šebestová splnili životní sen paní Janderkové•10-Jak Šebestovi přijeli za dcerou na víkend•11-Jak Mach a Šebestová navštívili cirkus•12-Jak se stal Jonatán hrdinou dne•13-Jak se Mach a Šebestová vrátili z prázdnin

Objev podobné jako Mach a Šebestová na prázdninách (DVD) (papírový obal)

Hudební CD - V rychlém sledu po loňském albu „Macon” nazvaném podle zpěvákova rodného města, vychází nyní již jeho jedenácté album nazvané tentokrát „Georgia” podle státu, ze kterého Jason Aldean pochází. Jason Aldean je country zpěvák z amerického státu Georgia. V rychlém sledu po loňském albu „Macon” nazvaném podle zpěvákova rodného města, vychází nyní již jeho jedenácté album nazvané tentokrát „Georgia” podle státu, ze kterého Jason Aldean pochází. Jason Aldean je country zpěvák z amerického státu Georgia. Rok vydání : 2022 Seznam stop CD Whiskey Me Away / Trouble With A Heartbreak / The State I #039;m In / Midnight And Missin #039; You / Ain #039;t Enough Cowboy / God Made Airplanes / My Weakness / Holy Water / Rock And Roll Cowboy / Your Mama / Take A Little Ride (Live from Las Vegas, NV) / Burnin #039; It Down (Live from St. Louis, MO) / Any Ol #039; Barstool (Live from Knoxville, TN) / Rearview Town (Live from St. Louis, MO) / Blame It On You (Live...

Objev podobné jako Aldean Jason: Georgia - CD (4050538719130)

DVD film Mach a Šebestová na cestách [2005]. Český večerníček. Český dabing. Dolby Digital. Úspěšný seriál nerozlučné dvojice Macha a Šebestové a jejich čtyřnohého přítele Jonatána. DVD obsahuje epizody: 1-Jak Mach a Šebestová závodili s domorodým kouzelníkem 2-Jak se Mach a Šebestová koupali v Amazonce 3-Jak Mach a Šebestová navštívili severní pól 4-Jak Mach a Šebestová zachraňovali v Paříži tetu Vilmu 5-Jak se Mach a Šebestová potápěli u Havajských ostrovů 6-Jak Mach a Šebestová zachránili v Benátkách Horáčka s Pažoutem 7-Jak Mach a Šebestová hledali v Austrálii Jonatána 8-Jak Mach a Šebestová navštívili s Jonatánem Hollywood

Objev podobné jako Mach a Šebestová na cestách (DVD) (papírový obal)

A modern, everything-you-need-to-know guide to baking perfect bread with a bread machine at home, with 75 recipes.In The Bread Machine Book, veteran cookbook author Lukas Volger offers a thorough guide to the versatile bread machine. You ll learn how to buy one, use one, and utilize different ingredients and techniques to make your creations sing. The 75 recipes can be made in any bread machine you have at home, including: Buttery BriocheHoney-Barley Milk Bread Choose-Your-Own-Adventure Swirl Bread Date Pecan Sourdough Loaf Ranch Rolls Matcha Ricotta Tea CakeEach recipe contains a faster and a slower method: The fast utilizes the machine’s presets (just throw everything into your bread machine and let it work its magic), while the slower isolates the kneading and the baking functions to create bread with more developed flavor and better structure for not much extra work. With comprehensive but easy-to-digest tips for success—including measuring methods, temperature targets, machine and visual cues to look for, and opportunities for hijacking your bread machine to knead and proof dough to be baked in your oven—this is the only book you need to bring easy, fail-proof loaves to the table every day.

Objev podobné jako The Bread Machine Book - Lukas Volger

Written by a noted authority, this fully illustrated study describes and depicts the machine guns equipping Soviet and Russian troops after 1945. Following the USSR⠙s victory in World War II, the Soviet armed forces adopted a succession of new or improved machine guns. At squad level, the 7.62mm RPD and RP-46 light machine guns replaced the DPM, themselves being supplanted by the RPK from 1961. Firing the lighter 5.45×39mm cartridge, the RPK-74 was issued from 1974 and remains in use today. The 5.45mm RPK-16 entered Russian service in 2018. Having served alongside the 7.62mm PM M1910 Maxim during World War II, the 7.62mm SG-43 medium machine gun was updated as the SGM before being supplanted by the 7.62mm PK general-purpose machine gun, issued from 1961. The improved PKM made its debut in 1969 and still equips Russian troops today, being joined by the PKP in 2001 and the AEK-999 in 2008. First issued in 1938, the formidable 12.7mm DShK heavy machine gun remains in Russian service today as the DShkM. It was joined by the 14.5mm KPV from 1949, the 12.7mm NSV from 1971 and the 12.7mm Kord from 1998. In this illustrated survey, Leroy Thompson investigates the origins, development, combat use and legacy of all of these machine guns since 1945, from the start of the Cold War to the 2020s, casting light on their battlefield effectiveness and tactical influence.

Objev podobné jako Russian Machine Guns since 1945 - Leroy Thompson

TrueLife BELLE IPL E5 - IPL Epilátor se třemi druhy lamp <img src="/image/1616511_0a-a87594dce8bfd91-969353-620-620-3.webp"> Hebká pokožka bez starostí a bolesti. Viditelné snížení růstu chloupků bez zbytečné bolesti. Účinná a rychlá TrueIPL&reg technologie TrueLife BELLE IPL E5 využívá intenzivního pulzního světla. Impulzy světla zasahují melanin ve folikulu chloupku, přerušují cyklus dorůstání chloupků. Bezbolestně i bezpečně díky SensCool&reg TrueLife BELLE IPL E5 je ideální i pro citlivou pokožku. Technologie SensCool&reg zajišťuje bezbolestné a bezpečné ošetření. Automatický a manuální režim TrueLife BELLE IPL E5 nabízí dva režimy. Manuální režim pro malé a těžko dostupné oblasti, automatický režim pro větší oblasti. <img src="/image/1616511_0b-c388a7dce8bfd91-969354-620-620-3.webp"> Dlouhodobé řešení TrueLife BELLE IPL E5 zaznamená snížení růstu chloupků již po 4 týdnech. Epilátor je účinný a dlouhodobé řešení pro odstranění chloupků. 3v1 - chloupky, akné a omlazení pokožky TrueLife BELLE IPL E5 nabízí více než jen epilaci. HR lampa pro odstranění chloupků, AC lampa pro odstranění akné, SR lampa pro omlazení pokožky. Parametry TrueLife BELLE IPL E5 Typ: IPL Využití: Obličej, Nohy, Intimní partie, Záda, Tělo Funkce: SensCool&reg, Senzor na ochranu očí Počet režimů: 2 - manuální a automatický Počet úrovní světla: 5 Počet záblesků: 600 000 Počet nástavců: 3 - HR lampa - odstranění chloupků,AC lampa - proti akné,SR lampa - omlazení pokožky Napájení: Elektrická síť Displej: Ano - dotykový LCD Barva: Bílá, zelená Obsah balení 1× Epilátor 1× HR lampa 1× AC lampa 1× SR lampa 1× Adaptér 1× Bezpečnostní brýle 1× Manuál <img src="/image/1616511_0c-6f9bbadce8bfd91-969355-620-620-3.webp"> Srovnání s konkurencí TrueLife BELLE IPL E5 nabízí nejlepší poměr cena/výkon. Poskytuje více než 600 000 záblesků, což odpovídá přibližně 15 - 20 rokům používání. SensCool&reg technologie zajišťuje bezpečné a bezbolestné použití.

Objev podobné jako TrueLife BELLE IPL E5

Vyražte v letošní sváteční sezóně s Lancôme na legendární Voyage à la Française, nádhernou cestu z Paříže ke štěstí. Nechte se unést kouzlem svátečních chvil a objevte s Lancôme vše, co potřebujete k vytvoření nezapomenutelných okamžiků plných radosti pro vás i vaše blízké. Ikonická vůně La Vie Est Belle Eau de Parfum, kombinující sladké tóny kosatce, arabského jasmínu, květu pomerančovníku a esence pačuli, je zosobněním štěstí a radosti. Potěšte sebe nebo své blízké tímto kosmetickým setem Lancôme obsahujícím vůni La Vie Est Belle Eau de Parfum 50ml, vůni La Vie Est Belle Eau de Parfum v cestovním balení 10ml a tělové mléko La Vie Est Belle Body Lotion 50ml.La Vie Est Belle EDP – Aplikujte vůni La Vie Est Belle na kůži, především na teplejší místa vašeho těla jako jsou vnitřní strany zápěstí, loketní jamky a pokožka pod ušními lalůčky. La Vie Est Belle Body Lotion - Po koupeli nebo kdykoli, když vaše pokožka potřebuje hydrataci, naneste přípravek na celé tělo a věnujte zvláštní pozornost suchým partiím, jako jsou lokty a kolena

Objev podobné jako Lancôme La Vie est Belle dárková sada (parfémová voda 50 ml + cestovní balení vůně 10 ml + tělové mléko 50 ml)

Téma „perfektní rolničky“ nás zaměstnávalo dlouho. Jak by měla vypadat? Co musí umět? V žádném případě jsme nechtěli nabízet rolničku, jakých jsou ve světě mraky, které při záseku zmizí v temnotě, nebo jejichž úchytný mechanismus vzdá svoji funkci po pár použitích. Téma „perfektní rolničky“ nás zaměstnávalo dlouho. Jak by měla vypadat? Co musí umět? V žádném případě jsme nechtěli nabízet rolničku, jakých jsou ve světě mraky, které při záseku zmizí v temnotě, nebo jejichž úchytný mechanismus vzdá svoji funkci po pár použitích. Po x nákresech a 3D modelech vznikla Pro Bell. Sestává ze dvou dílů. Základna může být uchycena na špici prutu, ale i níže na blanku. Rybář si může pozici rolničky na blanku zvolit podle svých osobních preferencí. Každopádně doporučujeme uchytit základnu Pro Bell naproti jednomu z oček, protože ramínka očka Pro Bell při záseku dodatečně stabilizují a zabraňují jeho protočení. Základnu můžete na prutu klidně nechat. Po vyvezení montáže pak stačí druhý díl Pro Bell pouze od shora dolů zasunout do základny. Rychlé a dětsky snadné. Pro Bell sedí na prutu super stabilně, ale přesto ji můžete během drilu bez problémů zase vysunout, pokud to budete sami chtít. Na horním i spodním konci můžete rychle uchytit standardní světelnou tyčinku o průměru 4,5 mm. To vám pomůže při lokalizaci záběru, nebo při hledání Pro Bell, pokud jste se během drilu rozhodli, druhý díl sami sundat. délka: 29 cm doplňující 1: stačí jen pohyb zápěstí doplňující 2: pro mělké i hluboké vody doplňující 3: jednoduché dosažení klepání materiál: dřevo barva: přírodní povrch: voděodolný čirý lak

Objev podobné jako Zeck Rolničky na sumce Pro Bell,Zeck Rolničky na sumce Pro Bell

Get ready to take your coverstitch machine skills to the next level! Learn all the necessary techniques you need in order to create professional-looking garments that will rival ready-to-wear.Master the Coverstitch machine will guide you through the best practices needed for successful coverstitching, with easy to understand, illustrated, step-by-step instructions.With the basics covered, you’ll be able to create garments following the detailed tutorials on everything from sewing binding and neckband to jeans making and underwear.Master the Coverstitch Machine will teach you how to:Hem garments like a proSew binding, ribbing and other neckline finishesBuy the coverstitch machine that best fits your needsUse professional techniques for swimwear, activewear and underwearStitch decorative seamsUse a coverstitch machine for jeans makingFix common coverstitch issuesUse different presser feet and attachments for maximum resultsPick the right type of needles and thread for your projectsClean and maintain your machineMaster the Coverstitch Machine also features sewing industry experts who share their best tips for successful coverstitching. Coverstitching can be daunting, but it doesn #39;t have to be. If you follow the methods described in this book you #39;ll be amazed how little tweaks can vastly improve the end result!

Objev podobné jako Master the Coverstitch Machine - Johanna Lundstrom

In his lucid and bracing history, [David] Bell helps us better understand how [a] charismatic grifter came to occupy the most powerful office in the world . . . Bellâ ™s description of our predicament makes for essential reading. â ”Robert Zaretsky, Los Angeles Review of BooksAn immersive examination of why the age of democratic revolutions was also a time of hero worship and strongmenIn Men on Horseback, the Princeton University historian David A. Bell offers a dramatic new interpretation of modern politics, arguing that the history of democracy is inextricable from the history of charisma, its shadow self. Bell begins with Corsicaâ ™s Pasquale Paoli, an icon of republican virtue whose exploits were once renowned throughout the Atlantic World. Paoli would become a signal influence in both George Washingtonâ ™s America and Napoleon Bonaparteâ ™s France. In turn, Bonaparte would exalt Washington even as he fashioned an entirely different form of leadership. In the same period, Toussaint Louverture sought to make French Revolutionary ideals of freedom and equality a reality for the formerly enslaved people of what would become Haiti, only to be betrayed by Napoleon himself. Simon Bolivar witnessed the coronation of Napoleon and later sought refuge in newly independent Haiti as he fought to liberate Latin America from Spanish rule. Tracing these stories and their interconnections, Bell weaves a spellbinding tale of power and its ability to mesmerize. Ultimately, Bell tells the crucial and neglected story of how political leadership was reinvented for a revolutionary world that wanted to do without kings and queens. If leaders no longer rule by divine right, what underlies their authority? Military valor? The consent of the people? Their own Godlike qualities? Bellâ ™s subjects all struggled with this question, learning from each otherâ ™s example as they did so. They were men on horseback who sought to be men of the peopleâ ”as Bell shows, modern democracy, militarism, and the cult of the strongman all emerged together. Today, with democracyâ ™s appeal and durability under threat around the world, Bellâ ™s account of its dark twin is timely and revelatory. For all its dangers, charisma cannot be dispensed with; in the end, Bell offers a stirring injunction to reimagine it as an animating force for good in the politics of our time.

Objev podobné jako Men on Horseback - David A. Bell

Horké potěšení: gril na dřevěné uhlí Klarstein Meat Machine z tebe udělá mistra v grilování a přinese mimořádně rozmanité potěšení z grilování, ať už se steaky, grilovanou zeleninou, vepřovým masem nebo zapečenou zmrzlinou. Tento záhradní gril je ideálním doplňkem pro každou grilovací sezónu.Pořádně přiložit! Gril Klarstein Meat Machine nabízí extra velkou grilovací plochu o rozměrech 45 x 32,5 cm ze dvou roštů z ušlechtilé oceli, na kterých si můžeš připravit mnohé dobroty pro rodinu nebo přátele. Nádoba na uhlí se jednoduše naplní dřevěným uhlím nebo grilovacími briketami a v okamžiku se rozpálí. Zvláštní zajímavostí je integrovaný systém HeightAdjust System: pomocí zvedacího mechanizmu můžeš regulovat vzdálenost mezi uhlíky a grilovanými potravinami, a tím regulovat teplo na grilu v závislosti na tom, zda chceš steaky s křupavou kůrkou nebo jemně připečené zeleninové špízy. Aby grilování neskončilo předčasně, můžeš kdykoliv doplnit do ohniska přes přední klapku dřevěné uhlí. Spálený materiál se shromažďuje ve velké přihrádce na popel a po skončení se dá snadno vyjmout.S grilem Klarstein Meat Machine jsi dobře vybaven také na nepřímé grilování a uzení. Jednoduše zavři kryt, nastav větrací otvor a z horního komína začne vlnit aromatický kouř. Integrovaný teploměr ti pomáhá udržovat teplo uvnitř. Díky tepelně izolované rukojeti můžeš kryt kdykoliv otevřít a přidat koření nebo omáčky. Aby ti u grilu nic nechybělo, má dvě praktické dřevěné odkládací plochy vlevo i vpravo. Na malém stolku o rozměrech 25 x 19 cm můžeš mít po ruce olej, grilovací nářadí, jídlo a také něco, co zažene žízeň. Na mřížce mezi nohama je prostor na pytel s dřevěným uhlím. A aby mohlo zařízení Meat Machine snadno změnit svou polohu, lze s ním lehce manipulovat díky dvěma kolečkům.Nikdo nezůstane hladový: gril na dřevěné uhlí Klarstein Meat Machine je nezbytným nástrojem pro všechny grilovací a BBQ události v tvé zahradě a perfektním záhradním grilom pro každou příležitost!

Objev podobné jako Klarstein Meat Machine, gril na dřevěné uhlí, 45 x 32,5 cm, teploměr, kolečka, černý

<p><span style="font-size: 12pt; color: #ee2280; font-family: verdana, geneva;"><strong style="box-sizing: border-box;">Dětský kostým -&nbsp;</strong><span style="box-sizing: border-box;" color:rgb="" 238="" 34="" 128=""><span style="box-sizing: border-box;"><strong style="box-sizing: border-box;">Jason Voorhees</strong></span></span></span></p> <p><span style="font-size: 12pt; font-family: verdana, geneva;"><span style="caret-color: rgb(0,;" 0="" color:rgb="" font-family:verdana="" sans-serif="">Chystáte vaše dítě na&nbsp;</span><span style="color: #ee2280;" 34="" 128="" font-family:verdana="" sans-serif=""><strong>karneval či párty</strong></span><span style="caret-color: rgb(0,;" 0="" color:rgb="" font-family:verdana="" sans-serif=""><span style="color: #ee2280;">?</span> Vezměte mu tento originální hororový&nbsp;kostým&nbsp;</span><span style="color: #ee2280;"><strong style="box-sizing: border-box;">Jason Voorhees</strong></span><span style="caret-color: rgb(0,;" 0="" color:rgb="" font-family:verdana="" sans-serif=""><span style="color: #ee2280;">,</span> se kterým bude určitě hvězda večera. Je vhodný na&nbsp;</span><span style="color: #ee2280;" 34="" 128="" font-family:verdana="" sans-serif=""><strong>Halloweenskou párty, karneval</strong></span><span style="caret-color: rgb(0,;" 0="" color:rgb="" font-family:verdana="" sans-serif=""><span style="color: #ee2280;">&nbsp;</span>nebo jiné příležitosti. Využití necháváme ve Vaší režií a na Vaší představivosti.</span></span></p> <p><span style="font-size: 12pt; font-family: verdana, geneva;"><span style="color: #ee2280;"><strong style="box-sizing: border-box;">Dětský kostým -&nbsp;</strong><span style="box-sizing: border-box;" color:rgb="" 238="" 34="" 128="" font-family:verdana="" sans-serif=""><span style="box-sizing: border-box;"><strong style="box-sizing: border-box;">Jason Voorhees</strong></span></span></span><span style="box-sizing: border-box;">&nbsp;obsahuje:</span></span></p> <p><span style="font-size: 12pt; color: #ee2280; font-family: verdana, geneva;"><span style="box-sizing: border-box;"><strong style="box-sizing: border-box;">·</strong></span><span style="box-sizing: border-box;" color:rgb="" 238="" 34="" 128=""><strong style="box-sizing: border-box;">&nbsp;maska</strong></span></span></p> <p><span style="font-size: 12pt; color: #ee2280; font-family: verdana, geneva;"><span style="box-sizing: border-box;"><strong style="box-sizing: border-box;">·</strong></span><span style="box-sizing: border-box;" color:rgb="" 238="" 34="" 128=""><strong style="box-sizing: border-box;">&nbsp;tričko</strong></span></span></p> <p><span style="font-size: 12pt; color: #ee2280; font-family: verdana, geneva;"><span style="box-sizing: border-box;" font-family:verdana="" sans-serif=""><strong style="box-sizing: border-box;">·</strong></span><span style="box-sizing: border-box;" color:rgb="" 238="" 34="" 128="" font-family:verdana="" sans-serif=""><strong style="box-sizing: border-box;">&nbsp;ramena</strong></span></span></p> <p><span style="font-size: 12pt; font-family: verdana, geneva;"><span style="color: #ee2280;" 34="" 128=""><strong>Jak si správně vybrat kostým?</strong></span>&nbsp;<span style="color: rgb(0,;" 0="">Kostýmy tvoří 100% Polyester. Díky elastickému materiálu se dají</span>&nbsp;<span style="color: #ee2280;" 34="" 128=""><strong>přizpůsobit</strong></span><span style="color: rgb(0,;" 0=""><span style="color: #ee2280;">.</span> V orientaci ve velikostech kostýmů Vám pomohou tyto rozměry:</span></span></p> <p><span style="font-size: 12pt; font-family: verdana, geneva;"><span style="color: #ee2280;" 34="" 128=""><strong>(M) 5 - 6 let:</strong></span>&nbsp;<span style="color: rgb(0,;" 0="">výška: 115 - 123 cm</span></span></p> <p><span style="font-size: 12pt; font-family: verdana, geneva;"><span style="color: rgb(238,;" 34="" 128=""><strong><span style="color: #ee2280;">(L) 7 - 9 let:</span>&nbsp;</strong></span><span style="color: rgb(0,;" 0="">výška: 129 - 137 cm</span></span></p> <p><span style="font-size: 12pt; font-family: verdana, geneva;"><strong><span style="color: #ee2280;" 34="" 128="">(XL) 10 - 12 let:</span>&nbsp;</strong><span style="color: rgb(0,;" 0="">výška: 143 - 151 cm</span></span></p>

Objev podobné jako Guirca Dětský kostým - Jason Voorhees Velikost - děti: L: 129-137 cm

<p><span style="font-size: 12pt; color: #ee2280; font-family: verdana, geneva;"><strong style="box-sizing: border-box;">Dětský kostým -&nbsp;</strong><span style="box-sizing: border-box;" color:rgb="" 238="" 34="" 128=""><span style="box-sizing: border-box;"><strong style="box-sizing: border-box;">Jason Voorhees</strong></span></span></span></p> <p><span style="font-size: 12pt; font-family: verdana, geneva;"><span style="caret-color: rgb(0,;" 0="" color:rgb="" font-family:verdana="" sans-serif="">Chystáte vaše dítě na&nbsp;</span><span style="color: #ee2280;" 34="" 128="" font-family:verdana="" sans-serif=""><strong>karneval či párty</strong></span><span style="caret-color: rgb(0,;" 0="" color:rgb="" font-family:verdana="" sans-serif=""><span style="color: #ee2280;">?</span> Vezměte mu tento originální hororový&nbsp;kostým&nbsp;</span><span style="color: #ee2280;"><strong style="box-sizing: border-box;">Jason Voorhees</strong></span><span style="caret-color: rgb(0,;" 0="" color:rgb="" font-family:verdana="" sans-serif=""><span style="color: #ee2280;">,</span> se kterým bude určitě hvězda večera. Je vhodný na&nbsp;</span><span style="color: #ee2280;" 34="" 128="" font-family:verdana="" sans-serif=""><strong>Halloweenskou párty, karneval</strong></span><span style="caret-color: rgb(0,;" 0="" color:rgb="" font-family:verdana="" sans-serif=""><span style="color: #ee2280;">&nbsp;</span>nebo jiné příležitosti. Využití necháváme ve Vaší režií a na Vaší představivosti.</span></span></p> <p><span style="font-size: 12pt; font-family: verdana, geneva;"><span style="color: #ee2280;"><strong style="box-sizing: border-box;">Dětský kostým -&nbsp;</strong><span style="box-sizing: border-box;" color:rgb="" 238="" 34="" 128="" font-family:verdana="" sans-serif=""><span style="box-sizing: border-box;"><strong style="box-sizing: border-box;">Jason Voorhees</strong></span></span></span><span style="box-sizing: border-box;">&nbsp;obsahuje:</span></span></p> <p><span style="font-size: 12pt; color: #ee2280; font-family: verdana, geneva;"><span style="box-sizing: border-box;"><strong style="box-sizing: border-box;">·</strong></span><span style="box-sizing: border-box;" color:rgb="" 238="" 34="" 128=""><strong style="box-sizing: border-box;">&nbsp;maska</strong></span></span></p> <p><span style="font-size: 12pt; color: #ee2280; font-family: verdana, geneva;"><span style="box-sizing: border-box;"><strong style="box-sizing: border-box;">·</strong></span><span style="box-sizing: border-box;" color:rgb="" 238="" 34="" 128=""><strong style="box-sizing: border-box;">&nbsp;tričko</strong></span></span></p> <p><span style="font-size: 12pt; color: #ee2280; font-family: verdana, geneva;"><span style="box-sizing: border-box;" font-family:verdana="" sans-serif=""><strong style="box-sizing: border-box;">·</strong></span><span style="box-sizing: border-box;" color:rgb="" 238="" 34="" 128="" font-family:verdana="" sans-serif=""><strong style="box-sizing: border-box;">&nbsp;ramena</strong></span></span></p> <p><span style="font-size: 12pt; font-family: verdana, geneva;"><span style="color: #ee2280;" 34="" 128=""><strong>Jak si správně vybrat kostým?</strong></span>&nbsp;<span style="color: rgb(0,;" 0="">Kostýmy tvoří 100% Polyester. Díky elastickému materiálu se dají</span>&nbsp;<span style="color: #ee2280;" 34="" 128=""><strong>přizpůsobit</strong></span><span style="color: rgb(0,;" 0=""><span style="color: #ee2280;">.</span> V orientaci ve velikostech kostýmů Vám pomohou tyto rozměry:</span></span></p> <p><span style="font-size: 12pt; font-family: verdana, geneva;"><span style="color: #ee2280;" 34="" 128=""><strong>(M) 5 - 6 let:</strong></span>&nbsp;<span style="color: rgb(0,;" 0="">výška: 115 - 123 cm</span></span></p> <p><span style="font-size: 12pt; font-family: verdana, geneva;"><span style="color: rgb(238,;" 34="" 128=""><strong><span style="color: #ee2280;">(L) 7 - 9 let:</span>&nbsp;</strong></span><span style="color: rgb(0,;" 0="">výška: 129 - 137 cm</span></span></p> <p><span style="font-size: 12pt; font-family: verdana, geneva;"><strong><span style="color: #ee2280;" 34="" 128="">(XL) 10 - 12 let:</span>&nbsp;</strong><span style="color: rgb(0,;" 0="">výška: 143 - 151 cm</span></span></p>

Objev podobné jako Guirca Dětský kostým - Jason Voorhees Velikost - děti: XL: 143-151 cm