grokking deep reinforcement learning miguel morales

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. • Foundational reinforcement learning concepts and methods • The most popular deep reinforcement learning agents solving high-dimensional environments • 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

Humans learn best from feedback—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 you’ll need to implement it into your own projects. Key features • Structuring problems as Markov Decision Processes • Popular algorithms such Deep Q-Networks, Policy Gradient method and Evolutionary Algorithms and the intuitions that drive them • Applying reinforcement learning algorithms to real-world problems Audience You’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 that’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

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

The significantly expanded and updated new edition of a widely used text on reinforcement learning, one of the most active research areas in artificial intelligence.Reinforcement learning, one of the most active research areas in artificial intelligence, is a computational approach to learning whereby an agent tries to maximize the total amount of reward it receives while interacting with a complex, uncertain environment. In Reinforcement Learning, Richard Sutton and Andrew Barto provide a clear and simple account of the field''s key ideas and algorithms. This second edition has been significantly expanded and updated, presenting new topics and updating coverage of other topics.Like the first edition, this second edition focuses on core online learning algorithms, with the more mathematical material set off in shaded boxes. Part I covers as much of reinforcement learning as possible without going beyond the tabular case for which exact solutions can be found. Many algorithms presented in this part are new to the second edition, including UCB, Expected Sarsa, and Double Learning. Part II extends these ideas to function approximation, with new sections on such topics as artificial neural networks and the Fourier basis, and offers expanded treatment of off-policy learning and policy-gradient methods. Part III has new chapters on reinforcement learning''s relationships to psychology and neuroscience, as well as an updated case-studies chapter including AlphaGo and AlphaGo Zero, Atari game playing, and IBM Watson''s wagering strategy. The final chapter discusses the future societal impacts of reinforcement learning.

Objev podobné jako Reinforcement Learning - Andrew G. Barto, Richard S. Sutton

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

Reinforcement learning (RL) will deliver one of the biggest breakthroughs in AI over the next decade, enabling algorithms to learn from their environment to achieve arbitrary goals. This practical book shows data science and AI professionals how to perform the reinforcement process that allows a machine to learn by itself.

Objev podobné jako Reinforcement Learning - Phil Winder Ph.D.

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

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 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

Distributed across servers, difficult to test, and resistant to modification—modern software is complex. Grokking Simplicity is a friendly, practical guide that will change the way you approach software design and development. It introduces a unique approach to functional programming that explains why certain features of software are prone to complexity, and teaches you the functional techniques you can use to simplify these systems so that they’re easier to test and debug. Available in PDF (ePub, kindle, and liveBook formats coming soon). about the technologyEven experienced developers struggle with software systems that sprawl across distributed servers and APIs, are filled with redundant code, and are difficult to reliably test and modify. Adopting ways of thinking derived from functional programming can help you design and refactor your codebase in ways that reduce complexity, rather than encouraging it. Grokking Simplicity lays out how to use functional programming in a professional environment to write a codebase that’s easier to test and reuse, has fewer bugs, and is better at handling the asynchronous nature of distributed systems. about the bookIn Grokking Simplicity, you’ll learn techniques and, more importantly, a mindset that will help you tackle common problems that arise when software gets complex. Veteran functional programmer Eric Normand guides you to a crystal-clear understanding of why certain features of modern software are so prone to complexity and introduces you to the functional techniques you can use to simplify these systems so that they’re easier to read, test, and debug. Through hands-on examples, exercises, and numerous self-assessments, you’ll learn to organize your code for maximum reusability and internalize methods to keep unwanted complexity out of your codebase. Regardless of the language you’re using, the ways of thinking in this book will help recognize problematic code and tame even the most complex software. what''s inside Apply functional programming principles to reduce codebase complexity Work with data transformation pipelines for code that’s easier to test and reuse Tools for modeling time to simplify asynchrony 60 exercises and 100 questions to test your knowledge about the readerFor experienced programmers. Examples are in JavaScript. about the author Eric Normand has been a functional programmer since 2001 and has been teaching functional programming online and in person since 2007. Visit LispCast.com to see more of his credentials.

Objev podobné jako Grokking Simplicity - Eric Normand

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

Engage the World Change the World Deep Learning has claimed the attention of educators and policymakers around the world. This book not only defines what deep learning is, but takes up the question of how to mobilize complex, whole-system change and transform learning for all students. Deep Learning is a global partnership that works to: transform the role of teachers to that of activators who design experiences that build global competencies using real-life problem solving; and supports schools, districts, and systems to shift practice and how to measure learning in authentic ways. This comprehensive strategy incorporates practical tools and processes to engage students, educators, and families in new partnerships and drive deep learning. Inside you’ll find: The Deep Learning Framework Vignettes and case studies from K-12 classrooms in 1,200 schools in seven countries Guidance for reaching disadvantaged and differently abled students Sample protocols and rubrics for assessment Videos demonstrating deep learning design and innovative leadership in practice Through learning partnerships, learning environments, new pedagogical practices, and leveraged digital skills, deep learning reaches students as never before — preparing them to be active, engaged participants in their future.

Objev podobné jako Deep Learning - Joanne Quinn, Michael Fullan, Joanne J. McEachen

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 • Models for textual similarity • Deep memory-based NLP • Semantic role labeling • 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. He’s the technical coordinator of two large European Union-funded research security-related projects. He’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

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 • Using the PyTorch tensor API • Understanding automatic differentiation in PyTorch • Training deep neural networks • Monitoring training and visualizing results • 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

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 success—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

The mathematical paradigms that underlie deep learning typically start out as hard-to-read academic papers, often leaving engineers in the dark about how their models actually function. Math and Architectures of Deep Learning bridges the gap between theory and practice, laying out the math of deep learning side by side with practical implementations in Python and PyTorch. Written by deep learning expert Krishnendu Chaudhury, you''ll peer inside the “black box” to understand how your code is working, and learn to comprehend cutting-edge research you can turn into practical applications. about the technology It''s important to understand how your deep learning models work, both so that you can maintain them efficiently and explain them to other stakeholders. Learning mathematical foundations and neural network architecture can be challenging, but the payoff is big. You''ll be free from blind reliance on pre-packaged DL models and able to build, customize, and re-architect for your specific needs. And when things go wrong, you''ll be glad you can quickly identify and fix problems. about the book Math and Architectures of Deep Learning sets out the foundations of DL in a way that''s both useful and accessible to working practitioners. Each chapter explores a new fundamental DL concept or architectural pattern, explaining the underpinning mathematics and demonstrating how they work in practice with well-annotated Python code. You''ll start with a primer of basic algebra, calculus, and statistics, working your way up to state-of-the-art DL paradigms taken from the latest research. By the time you''re done, you''ll have a combined theoretical insight and practical skills to identify and implement DL architecture for almost any real-world challenge.

Objev podobné jako Math and Architectures of Deep Learning - Krishnendu Chaudhury

A friendly, fully-illustrated introduction to the most important computer programming algorithms. The algorithms you''ll use most often as a programmer have already been discovered, tested, and proven. This book will prepare you for those pesky algorithms questions in every programming job interview and help you apply them in your day-to-day work. And if you want to understand them without slogging through dense multipage proofs, this is the book for you. In Grokking Algorithms, Second Edition you will discover: Search, sort, and graph algorithms Data structures such as arrays, lists, hash tables, trees, and graphs NP complete and greedy algorithms Performance trade-offs between algorithms Exercises and code samples in every chapter Over 400 illustrations with detailed walkthroughs The first edition of Grokking Algorithms proved to over 100,000 readers that learning algorithms doesn''t have to be complicated or boring! This new edition now includes fresh coverage of trees, NP complete problems, and code updates to Python 3. With easy-to-read, friendly explanations, clever examples, and exercises to sharpen your skills as you learn, you’ll actually enjoy learning these important algorithms.

Objev podobné jako Grokking Algorithms - Aditya Bhargava

AI is primed to revolutionize the way we build applications, offering exciting new ways to solve problems, uncover insights, innovate new products, and provide better user experiences. Successful AI is based on a set of core algorithms that form a base of knowledge shared by all data scientists. Grokking Artificial Intelligence Algorithms is a fully-illustrated and interactive tutorial guide to the different approaches and algorithms that underpin AI. Written in simple language and with lots of visual references and hands-on examples, readers learn the concepts, terminology, and theory they need to effectively incorporate AI algorithms into their applications. Grokking Artificial Intelligence Algorithms uses simple language, jargon-busting explanations, and hand-drawn diagrams to open up complex algorithms. Don’t worry if you aren’t a calculus wunderkind; you’ll need only the algebra you picked up in math class. • Use cases for different AI algorithms • How to encode problems and solutions using data structures • Intelligent search for game playing • Ant colony algorithms for path finding • Evolutionary algorithms for optimization problems For software developers with high school-level algebra and calculus skills.

Objev podobné jako Grokking Artificial Intelligence Algorithms - Rishal Hurbans

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

Bodové svítidlo Rabalux Miguel E14 2x40W dub/černá – industriální elegance ve vašem interiéruBodové svítidlo Rabalux Miguel nabízí stylové a funkční osvětlení v industriálním designu, který vynikne v moderních i tradičních interiérech. Spojení přírodního dubového dřeva, matné černé kovové konstrukce a textilních stínidel vytváří atraktivní kontrast, který dodá každému prostoru osobitý charakter. Toto dvoužárovkové svítidlo je ideální volbou pro obývací pokoje, jídelny či ložnice, kde požadujete nejen dostatek světla, ale i skvělý vizuální dojem.Klíčové vlastnosti svítidla Miguel Industriální styl: Moderní kombinace dubového dřeva a matné černé barvy. Flexibilní osvětlení: Dva samostatné zdroje (E14, max. 2×40 W) umožňují nasměrování světla podle potřeby. Textilní cylindrická stínidla: Otevřená spodní část stínidel pro příjemné, atmosférické rozptýlení světla. Nástěnná montáž: Stabilní upevnění pomocí kulaté kovové základny (průměr 80 mm). Snadné ovládání: Kolébkový spínač na spodní straně základny. Kvalitní materiály: Kombinace kovu, dřeva a textilu pro dlouhou životnost i estetickou hodnotu.Technické parametry Počet světelných zdrojů: 2 (žárovky nejsou součástí balení) Patice: E14 Příkon: max. 2×40 W (celkem 80 W) Napětí: 230 V, 50 Hz Rozměry: šířka 340 mm, vzdálenost od stěny 220 mm, základna průměr 80 mm Materiál: kov / dřevo / textil Barva: dub / černá Stupeň krytí: IP20 (vhodné do interiérů) Hmotnost: 627 gDoporučení interiérového designéraBodové svítidlo Miguel doporučuji umístit nad postel, pohovku či jídelní stůl, kde jeho přímé, ale zároveň neoslnivé světlo navodí příjemnou atmosféru. Ideální je kombinovat s dekorativními LED žárovkami v teplé nebo neutrální bílé, které podtrhnou textilní stínidla a dodají prostoru útulnost. Díky otočným hlavicím lze světlo nasměrovat přesně tam, kde je nejvíce potřeba.Trust badges & garance Životnost svítidla: až 30 000 hodin (dle použité žárovky) Záruka: 2 roky Certifikace: CEFAQ – často kladené otázky Lze použít LED žárovky? Ano, svítidlo je kompatibilní se všemi žárovkami s paticí E14, včetně LED variant pro maximální úsporu energie i dlouhou životnost. Je možné zkracovat závěs nebo měnit směr svícení? Svítidlo nemá závěs – je pevně uchyceno na stěně. Hlavice svítidla však lze orientovat podle potřeby.Tip designéra: Svítidlo Rabalux Miguel vynikne jako solitér i v kombinaci s dalšími doplňky z přírodních materiálů a černých kovových prvků. Vsaďte na harmonii tvarů a barev pro stylově sjednocený interiér.

Objev podobné jako Rabalux bodové svítidlo Miguel E14 2x MAX 40W dub 3245

Miguel Rio Branco unites more than four decades of work across several major cities into one astonishing poetic statement on urban life. Eschewing city landmarks or aspirational ideals, Rio Branco turns his lens to common threads of struggle in metropolises around the globe. Maldicidade is a collection in which all urban dwellers will find something of themselves, or something they long to escape. In Maldicidade, the city never sleeps. By dawn or dusk, in New York, Havana, Salvador da Bahia, or Tokyo, it is an environment fraught with yearning, aching with solitude, and fretful with fortunes never made. This searing urban portrait from visual artist Miguel Rio Branco draws upon his itinerant early years as the son of diplomats to reveal the common threads of struggle and loneliness in metropolises around the world.The images are impeccably captured, but the pictures are not always pretty. Rio Branco is not interested in documenting historic city landmarks, an impressive skyline, or the aspirational dreams that soar up towards it. Instead, he focuses his camera on the city’s refuse and margins—on that which it has thrown away and on those it has cast aside and disappointed. In stark frames or soft impressions, it is street sleepers, beggars, prostitutes, stray dogs, smashed cars, and shattered glass that characterize his urban impressions. While subtle details reveal the specificity of place, it is the commonality of urban experience at the heart of Rio Branco’s project. Light on local context or explanatory narrative, the images are instead meticulously arranged into one redolent sequence of a universal city. Working as if in the cutting studio, Rio Branco excels in the rhythm and succession of pictures, crafting evocative patterns of motif (decrepit buildings, lone figures, smashed-up cars); color (rich reds, dusty pinks, stark whites and blues); and form (an anguished street sleeper beside an ecstatic statue of a saint). Throughout, occasional pictures of women are proffered as sensual, hopeful reprieve, interspersing the grit and the grime in commanding portraits or up-close, supple nudes. At once incisive in its message and lyrical in its arrangement, Maldicidade focuses attention on the city’s ineludible magnetism, as much as on its alienation and inhumanity. Biting, bare-faced, and achingly beautiful, it is a collection in which all city dwellers will find something of themselves, or something they long to escape. The photographer Born in Las Palmas, Spain, Miguel Rio Branco is a Brazilian and French photographer, painter, filmmaker, and multimedia artist based in Araras, Rio de Janeiro. His work is featured in leading museum collections around the world including the MoMA, the Metropolitan Museum of Art, and the Centre Pompidou, and has been exhibited at the Peggy Guggenheim Museum, Venice; the Biennial of Sao Paulo; and Aperture Foundation in New York, among others. Rio Branco’s awards and prizes include the Prix du Livre Photo at the Rencontres Internationales de la Photographie in Arles, the Prix Kodak de la Critique Photographique, as well as the International Critics’ Award at the 1982 Lille Documentary Festival. The contributing author Paulo Herkenhoff is an independent curator and critic. From 2003–2006, he was director of the Museu Nacional de Belas Artes, Rio de Janeiro. Previously Herkenhoff was adjunct curator in the Department of Painting and Sculpture at the New York Museum of Modern Art, and chief curator of Museu de Arte Moderna do Rio de Janeiro. He was also artistic director of the 24th Sao Paulo Biennale and curated the Brazilian Pavilion at the 47th Venice Biennale. Herkenhoff has published texts on artists such as Raul Mourao, Guillermo Kuitca, Rebecca Horn, Juliao Sarmento, and Louise Bourgeois. He lives and works in Rio de Janeiro.

Objev podobné jako Miguel Rio Branco: Maldicidade - Miguel Rio Branco, Paulo Herkenhoff

Bodové svítidlo Rabalux Miguel E14 3x40W dub – industriální styl s přírodním akcentemBodové svítidlo Rabalux Miguel představuje ideální spojení moderního industriálního designu s teplou přírodní estetikou díky kombinaci matně černé barvy a detailů z dubového dřeva. Svítidlo je navrženo pro tři žárovky E14 s maximálním příkonem každé 40 W, což umožňuje vytvořit optimální osvětlení i pro větší obytné prostory.Charakteristika a design Styl: Industriální, moderní s přírodními prvky Barevné provedení: Dub / černá Materiály: Kov, dřevo, textil Rozměry: Šířka 380 mm, výška 220 mm, základna Ø 100 mm Stupeň krytí: IP20 – vhodné pro interiér Montáž: Na zeď či strop pomocí kulatého dekoračního podstavceTři pohyblivé hlavy svítidla jsou spojeny s dekorativní základnou pomocí elegantních černých ramen ve tvaru úponků, což dodává lampě dynamický a originální vzhled. Textilní cylindrická stínidla v černé barvě zajišťují příjemně tlumené, atmosférické světlo – ideální pro obývací pokoj, jídelnu i ložnici.Technické parametry Patice: E14 Počet světelných zdrojů: 3 (žárovky nejsou součástí balení) Příkon světelného zdroje: max. 40 W / žárovka (celkem max. 120 W) Napětí: 230 V, 50 Hz Hmotnost: 864 gDoporučení interiérového designéraRabalux Miguel doporučuji do moderních i tradičních interiérů, kde se snoubí přírodní akcenty se současným stylem. Skvěle vynikne nad jídelním stolem, v obývacím pokoji nebo jako nevšední prvek ložnice. Pro maximální úsporu energie doporučuji použít LED žárovky E14 ve vámi preferované barevné teplotě (teplá nebo denní bílá).Trust badges & garance Záruka: 2 roky Životnost žárovky: až 30 000 h (při použití kvalitní LED žárovky) Certifikace: CEFAQ – Často kladené otázky Lze použít LED žárovky? Ano, svítidlo je plně kompatibilní s LED žárovkami s paticí E14, doporučujeme pro úsporu energie a delší životnost. Mohu směrovat světlo podle potřeby? Každá hlava svítidla je samostatně natáčitelná, takže snadno nasměrujete světlo podle aktuální potřeby v místnosti. Vsaďte na osobitý design s přírodními prvky a vytvořte útulnou atmosféru ve svém domově s Rabalux Miguel!

Objev podobné jako Rabalux bodové svítidlo Miguel E14 3x MAX 40W dub 3246

This handsome boxed set by bestselling author don Miguel Ruiz offers three of his most widely acclaimed works:THE FOUR AGREEMENTS: A Practical Guide to Personal Freedom Don Miguel Ruiz reveals the source of self-limiting beliefs that rob us of joy and create needless suffering. Based on ancient Toltec wisdom, The Four Agreements offer a powerful code of conduct that can rapidly transform our lives to a new experience of freedom, true happiness, and love.THE MASTERY OF LOVE: A Practical Guide to the Art of Relationship Don Miguel Ruiz illuminates the fear-based beliefs and assumptions that undermine love and lead to suffering and drama in our relationships. Using insightful stories to bring his message to life, Ruiz shows us how to heal our emotional wounds, recover the freedom and joy that are our birthright, and restore the spirit of playfulness that is vital to loving relationships.THE VOICE OF KNOWLEDGE: A Practical Guide to Inner Peace Don Miguel Ruiz reminds us of a profound and simple truth: The only way to end our emotional suffering and restore our joy in living is to stop believing in lies — mainly about ourselves. Based on ancient Toltec wisdom, this breakthrough book shows us how to recover our faith in the truth and return to our own common sense.

Objev podobné jako The Four Agreements Toltec Wisdom Collection - Janet Millsová, Don Miguel, Jr. Ruiz

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

Audiokniha: Anglická Don Miguel Ruiz, autor bestsellerů Čtyři dohody a Pátá dohoda, nám v této audioknize připomíná jednu hlubokou a prostou pravdu: Chceme-li skoncovat s emočním utrpením a obnovit svou radost ze života, musíme přestat věřit lžím, většinou o sobě samých. Tato průkopnická audiokniha, založená na staré toltécké moudrosti, nám ukazuje, jak obnovit víru v pravdu a vrátit se ke zdravému rozumu. Ruiz mění způsob, jakým vnímáme sami sebe i druhé lidi. Pak nám otvírá dveře do reality, kterou jsme vnímali jako dvouleté děti – do reality pravdy, lásky a radosti. Don Miguel Ruiz (1952) Narodil se na mexickém venkově v rodině léčitelů a byl vychován svou matkou curanderou (léčitelkou) a dědečkem naguálem (šamanem). I přes očekávání své rodiny, že bude pokračovat v této léčitelské tradici, se rozhodl vystudovat klasickou medicínu a stát se chirurgem. Jeho život však dramaticky změnila autonehoda, kterou na počátku sedmdesátých let šťastně přežil a po ktreré se začal intenzivně zabývat svým životem a sám sebou. Rozhodl se naplno věnovat rozvíjení staré moudrosti svých předků. Nejprve se učil u své matky a své učení později zakončil u významného šamana v mexické poušti. Podle toltécké tradice vede naguál člověka k osobní svobodě. Don Miguel Ruiz svůj život zasvětil předávání této staré toltécké moudrosti. Tympanum dosud vydalo Ruizovy audioknihy Čtyři dohody (čte J. Dušek), Pátá dohoda, Láska, vztahy a přátelství a Hlas poznání. Renata Volfová (1959) Herečka, rozhlasová hlasatelka a dabérka. Po svém otci Richardu Honzovičovi zdědila lásku k filmu a k rozhlasu. Vystudovala Státní konzervatoř v Praze. Hrála mimo jiné ve filmech Prodloužený čas a Fešák Hubert, ale známá je především jako dabérka. Téměř dvě desetiletí pracovala jako hlasatelka stanice Český rozhlas 2 Praha. Namlouvá komentáře k televizním pořadům a pro nevidomé načetla více jak 90 audioknih. Tympanum v její interpretaci vydalo audioknihy Solaris, Šifra mistra Leonarda, A hory odpověděly, Láska, vztahy a přátelství, Hlas poznání a Čarodějka z Portobella.

Objev podobné jako Hlas poznání - Toltécká kniha moudrosti - Don Miguel Ruiz - audiokniha

In The Four Agreements, bestselling author don Miguel Ruiz reveals the source of self-limiting beliefs that rob us of joy and create needless suffering. Based on ancient Toltec wisdom, The Four Agreements offer a powerful code of conduct that can rapidly transform our lives to a new experience of freedom, true happiness, and love. • A New York Times bestseller for over a decade. • Over 8.5 million copies sold in the U.S. • Translated into 46 languages worldwide. "This book by don Miguel Ruiz, simple yet so powerful, has made a tremendous difference in how I think and act in every encounter." — Oprah Winfrey "Don Miguel Ruiz’s book is a roadmap to enlightenment and freedom." — Deepak Chopra, Author, The Seven Spiritual Laws of Success "An inspiring book with many great lessons." — Wayne Dyer, Author, Real Magic "In the tradition of Castaneda, Ruiz distills essential Toltec wisdom, expressing with clarity and impeccability what it means for men and women to live as peaceful warriors in the modern world." — Dan Millman, Author, Way of the Peaceful Warrior

Objev podobné jako The Four Agreements - Don Miguel Ruiz

THE INTERNATIONAL BESTSELLER & WINNER OF THE FOOTBALL BOOK OF THE YEAR AWARDA TIMES SPORTS BOOK OF THE YEARA TELEGRAPH BOOK OF THE YEARAN IRISH TIMES BOOK OF THE YEARAN IRISH INDEPENDENT BOOK OF THE YEAR''Important, perfectly timed and hugely necessary.'' The Guardian''A monumental piece of investigative journalism.'' Irish Times''A must-read on how modern football works.'' Ian Wright''Brave, forensic and utterly gripping.'' Tom Holland______________________________The definitive account of how capitalism and the world''s elite corrupted modern football. Fully updated to cover Saudi Arabia''s 2034 World Cup bid, the Manchester City charges case and PSG winning the Champions League.As the 2022 World Cup in Qatar drew to a close, there was a bitter undercurrent to Argentina''s triumph. Throughout the tournament, numerous allegations of sportswashing and financial misconduct had been made against the state of Qatar, moving what had previously been a smaller conversation into the worldwide spotlight.The question had been asked, who really owns and runs football?Journeying from Abu Dhabi to Newcastle, and onto London, Paris, Moscow and New York, journalist Miguel Delaney investigates the allegations of sportswashing and misconduct in the beautiful game. The result is a gripping account of how football has been taken over by the world''s wealthiest businessmen, state-backed corporations, media tycoons and oil-rich oligarchs.From Neymar''s £198 million transfer to Paris Saint-Germain and Abu Dhabi''s construction empire in Manchester to failed Financial Fair Play constraints and the dawn of the European Super League, Miguel draws on exclusive interviews and unprecedented access to key stakeholders to produce an all-encompassing exposé of modern footballs highest echelons.Authoritative, riveting and eye-opening, States of Play reveals how football has become a tool for the world''s elite.______________________________Miguel Delaney''s STATES OF PLAY was ranked in the Irish Times bestsellers list the weeks of 11th-18th November & 9th December 2024.

Objev podobné jako States of Play - Miguel Delaney

Maximize employee performance with this updated edition of the classic bestsellerIn Bringing Out the Best in People: How to Apply the Astonishing Power of Positive Reinforcement, renowned thought leader and internationally recognized workplace expert Aubrey Daniels takes a look at today’s rapidly changing work environment, providing a timely update to his seminal book on performance management.As one of the foremost speakers and writers in the human performance field, for nearly 40 years Daniels has worked with organizations to apply scientifically-based behavioral tools and principles to effectively address workplace issues—particularly as they relate to management, leadership, culture, innovation, safety, engagement, and collaboration.Bringing Out the Best in People: How to Apply the Astonishing Power of Positive Reinforcement, presents Daniels’ proven strategies that have been successfully adopted by hundreds of organizations worldwide—ranging from start-ups to Fortune 100 companies—and delivers step-by-step instruction and positive practices to help you implement and sustain positive change.With a behavioral foundation and new chapters on employee engagement and the impact of the exponential increase in technology, this latest edition features all new examples, updated approaches to effective recognition and rewards systems, tips for stimulating and fostering innovation and creativity, and productive ways to embrace and empower the multi-generational workforce, including Millennials and future generations.This timely update tackles the changes in the contemporary work environment, while providing step-by-step instructions and proven practices that have been adopted by Daniels’ global clients, from startups to Fortune 100 companies. Learn how to:• Create effective recognition and rewards systems that are positively reinforcing to employees • Stimulate innovation and creativity in exciting new ways• Understand fluency as an efficient way to reduce training costs and increase training effectiveness for all employees • Engage employees in ways that lead to improved performance and a stronger culture• Motivate and empower the multi-generational workforce• Understand and shape how technology is affecting employee behavior—for better and worse

Objev podobné jako Bringing Out the Best in People: How to Apply the Astonishing Power of Positive Reinforcement, Third Edition - Aubrey Daniels

Delicious Food For Less.Minimum fuss, maximum flavour, fully vegan and all for £1 per person.Miguel Barclay''s One Pound Meals, became the bestselling debut cookbook of 2017. Vegan One Pound Meals, his fourth book in the series focusses on vegan recipes, with Miguel showing just how accessible it can be to eat vegan meals on a budget, with each recipe costing just £1 per portion. You might think that it''s expensive to change your diet to a vegan one, but Miguel will show you that it''s entirely do-able on a tiny budget. Once again, through his ingenious recipes, he will bring delicious food to your table without the expense. There''s over 85 recipes to choose from, including: * Sweet Potato Katsu Curry* Golden Syrup Broccoli Noodles * Mac & No Cheese * Sticky Aubergine Bao* Black Bean Meatballs* Vegan Sausage Rolls* Mexican Stuffed Peppers* Oothappam Indian CrumpetsMiguel Barclay''s new recipe book, GREEN ONE POUND MEALS, is available for pre-order now!

Objev podobné jako Vegan One Pound Meals - Miguel Barclay

Miguel Street, V. S. Naipaul’s first written work of fiction, is set in a derelict corner of Port of Spain, Trinidad, during World War Two and is narrated by an unnamed, precociously observant neighbourhood boy. We are introduced to a galaxy of characters, from Popo the carpenter, who neglects his livelihood to build ‘the wild thing without a name’, to Man-man, who goes from running for public office to staging his own crucifixion, and the dreaded Big-Foot, the bully with glass tear ducts. As well as the lovely Mrs Hereira, in thrall to her monstrous husband. V. S. Naipaul writes with prescient wisdom and crackling wit about the lives and legends that make up Miguel Street: a living theatre, a world in microcosm, a cacophony of sights, sounds and smells – all seen through the eyes of a fatherless boy. The language, the idioms and the observations are priceless and timeless and Miguel Street overflows with life on every page. This is an astonishing novel about hope, despair, poverty and laughter; and an enchanting and exuberant tribute to V. S. Naipaul’s childhood home.

Objev podobné jako Miguel Street - V.S. Naipaul

Elektronická kniha - autor François Chollet, 328 stran, česky Strojové učení zaznamenalo v posledních letech pozoruhodný pokrok od téměř nepoužitelného rozpoznávání řeči a obrazu k nadlidské přesnosti. Od programů, které nedokázaly porazit jen trochu zkušenějšího hráče go, jsme dospěli k přemožiteli mistra světa. Za pokrokem ve vývoji učících se programů stojí tzv. hluboké učení (deep learning) ndash; kombinace technických vylepšení, osvědčených postupů a teorií, které umožnily vyvinout množství dříve nerealizovatelných inteligentních aplikací. S jejich pomocí pak můžeme například analyzovat text či mluvené slovo, překládat z jazyka do jazyka, rozpoznávat osoby na sociálních sítích nebo používat samořídící automobily. Tato kniha naučí čtenáře navrhovat hluboce se učící systémy v jazyku Python, který je v současnosti nejpoužívanějším programovacím jazykem pro vývoj těchto systémů, a knihovny Keras a TensorFlow používané většinou vítězů soutěží systémů pro...

Objev podobné jako Deep learning v jazyku Python (978-80-247-3100-1)

Strojové učení zaznamenalo v posledních letech pozoruhodný pokrok a dospělo od téměř nepoužitelného rozpoznávání řeči a obrazu k téměř nadlidské přesnosti, od programů, které nedokázaly porazit jen trochu zkušenějšího hráče šachu, až k přemožitelům mistrů světa.Za pokrokem ve vývoji učících se programů stojí tzv. hluboké učení (deep learning), což je kombinace teorií a osvědčených technických postupů, které umožnily vyvinout řadu dříve nerealizovatelných aplikací. S jejich pomocí můžeme analyzovat a syntetizovat text i mluvené slovo, překládat z jazyka do jazyka, rozpoznávat osoby nebo ovládat samořídící automobily.Kniha naučí čtenáře, jehož znalosti jazyka Python jsou na střední úrovni, navrhovat v tomto jazyku hluboce se učící systémy s pomocí knihoven Keras a TensorFlow, které používá většina autorů vítězných systémů ze soutěží v hlubokém učení. Výklad je založený na intuitivních vysvětleních a praktických příkladech. Náročné koncepty si procvičíte na aplikacích v oblasti počítačového vidění, zpracování přirozeného jazyka a generativních modelů. Získáte tak znalosti a praktické dovednosti, které vám umožní aplikovat hluboké učení ve vlastních projektech.Autorem knihy je François Chollet, tvůrce knihovny Keras a výzkumník v oblasti umělé inteligence společnosti Google. Výklad základních principů hlubokého učení i pokročilých dovedností Tvorba systému hlubokého učení pro počítačové vidění, časové řady, text i generování vlastních výtvorů (například obrázků) Způsob fungování moderních AI systémů typu ChatGPT Popis rozdílů při spouštění programů na CPU, GPU a FPU Práce s webovým prostředím Collaboration, které umožňuje používat GPU a FPU na serveru

Objev podobné jako Deep learning v jazyku Python - 2., rozšířené vydání - François Chollet

STŮL MIGUEL V BARVĚ OŘECH Zamyslete se nad tím, jak krásně zapadne do vašeho prostoru stůl v barvě ořech. Stolová deska vyrobená z přírodní MDF a dýhy dodává eleganci, zatímco dřevěné nohy ořechové barvy vytváří ucelený celek. Představte si chvíle strávené u tohoto stolu – příjemná setkání, chutná jídla a atmosféru tepla a stylu. Není to jen stůl, je to skutečná dekorace interiéru. ELEGANCE A STYL Stůl je ztělesněním elegance a stylu. Přírodní dýha poskytuje nejen estetický zážitek, ale také praktickou odolnost. Tato kombinace materiálů zajišťuje, že stůl bude nejen krásný, ale také dlouhodobě funkční. Dřevěné nohy v barvě ořechu dodávají stolu stabilitu a harmonicky ladí s deskou. ATMOSFÉRA TEPLA A HARMONIE Představte si, jak stůl oživí váš interiér. U tohoto stolu můžete zažívat příjemné chvíle s rodinou a přáteli, vychutnávat si vynikající pokrmy a užívat si atmosféru tepla a harmonie. Stůl není jen praktický kus nábytku, ale také centrum, kolem kterého se budou odehrávat vaše nejcennější okamžiky. ZDŮRAZNĚTE SVŮJ VYTŘÍBENÝ VKUS S tímto stolem můžete snadno zdůraznit svůj vytříbený vkus a vytvořit kolem sebe místo plné harmonie a šarmu. Stůl MIGUEL je více než jen nábytek – je to výpověď o vašem stylu a smyslu pro detail. Přesvědčte se, jak snadno může tento stůl proměnit váš domov v elegantní a útulné místo. Stůl v barvě ořech je ideální volbou pro ty, kteří hledají kombinaci elegance, funkčnosti a stylu. Užívejte si krásné chvíle u tohoto nádherného stolu a vytvořte si domov, který bude odrážet vaši osobnost a vkus. TECHNICKÉ PARAMETRY Barva:ořechMateriál:MDF / přírodní dýhaRozměry:šířka: 160 cmhloubka: 90 ncmvýška: 75 cmHmotnost: 31 kg MONTÁŽ Zboží je dodáváno v rozloženém stavu v kartonovém obalu. Jednoduchá montáž je možná díky přiloženému montážnímu návodu.

Objev podobné jako Jídelní stůl MIGUEL Halmar

V legendární knize Čtyři dohody don Miguel Ruiz ovlivnil život pěti milionů čtenářů svými čtyřmi principy transformace života. Nyní do rukou s srdcí svých čtenářů vkládá své nejoblíbenější modlitby a meditace. Don Miguel začíná každou svou lekci modlitbou nebo řízenou meditací, aby probudil a inspiroval lidskou mysl k přijetí vysvětlovaných duchovních principů. Čtenáři mohou tuto knížku jednoduše použít jako zdroj inspirace, kdykoli budou potřebovat v životě povzbuzení. Modlitby zahrnují všechna důležitá témata jako moudrost, uzdravení, odvaha, láska, láska k sobě samému, odpuštění, osobnostní celistvost, svoboda, štěstí a pravda.

Objev podobné jako Čtyři dohody – modlitby - Don Miguel Ruiz, Janet Millsová

Autor světového bestselleru Čtyři dohody a uznávaný duchovní učitel Don Miguel Ruiz zve své čtenáře na dobrodružnou cestu sebereflexe, zkoumání vlastního nitra. Klíčovou roli v tomto procesu hrají tři otázky: Kdo jsem? Co je skutečné? Co je láska? Jejich prostřednictvím postupně odkrývá nejrůznější klamy a sebeklamy, jimž jako jednotlivci i jako lidstvo podléháme a jež jsou permanentním (a podle všeho zbytečným) zdrojem naší duševní i tělesné nepohody či dokonce až utrpení. Vykročme společně s Donem Miguelem Ruizem a putujme s ním po krajině naší mysli: nezapomínejme však, že on nám jen ukazuje směr. Strůjcem naší duchovní transformace jsme jen my sami!

Objev podobné jako Tři otázky - Jak objevit a ovládnout svoji vnitřní sílu - Don Miguel Ruiz, Barbara Emrys

Ve Čtyřech dohodách odhaluje don Miguel Ruiz zdroj špatných životních návyků, které nás připravují o radost a vedou ke zbytečnému utrpení. Čtyři dohody, založené na staré toltécké moudrosti, nabízejí nový přístup k vlastnímu vnitru, abychom dokázali proměnit svůj život v prožitek svobody, opravdového štěstí a lásky. Ruiz shrnuje základní toltéckou moudrost a vyjadřuje jasně a čistě, co pro muže a ženy znamená žít jako mírumilovní válečníci v moderním světě. V toltécké tradici vede naguál člověka k osobní svobodě. Don Miguel Ruiz je naguál z rodu Rytířů orla a věnuje se předávání učení starých Toltéků.

Objev podobné jako Čtyři dohody - Kniha moudrosti starých Toltéků - Don Miguel Ruiz

Ve své knížce nám bestselleroví autoři don Miguel Ruiz ml. a Heather Ash Amara sdělují sedm tajemství zdravých a šťastných vztahů. Porozumění těmto principům je prospěšné na každém stupni důvěrných partnerských vztahů. Cesta k naplnění lidské touhy po lásce není snadná, ale s tímto laskavým průvodcem se konečně dokážeme otevřít životu.

Objev podobné jako Sedm tajemství pro zdravé a šťastné vztahy - Don Miguel Ruiz, Heather Ash Amara, Don Miguel ml.

THE INTERNATIONAL BESTSELLER & WINNER OF THE FOOTBALL BOOK OF THE YEAR AWARD A TIMES SPORTS BOOK OF THE YEARA TELEGRAPH BOOK OF THE YEARAN IRISH TIMES BOOK OF THE YEARAN IRISH INDEPENDENT BOOK OF THE YEAR''Important, perfectly timed and hugely necessary.'' The Guardian''Magnificent. Some of the details are eye-popping.'' Irish Independent''Football needs this book. A monumental piece of investigative journalism.'' Irish Times''A must-read on how modern football works.'' Ian Wright''Brave, forensic and utterly gripping.'' Tom Holland______________________________The definitive account of how capitalism and the world''s elite corrupted modern footballAs the 2022 World Cup in Qatar drew to a close, there was a bitter undercurrent to Argentina''s triumph. Throughout the tournament, numerous allegations of sportswashing and financial misconduct had been made against the state of Qatar, moving what had previously been a smaller conversation into the worldwide spotlight. The question had been asked, who really owns and runs football? Journeying from Abu Dhabi to Newcastle, and onto London, Paris, Moscow and New York, journalist Miguel Delaney investigates the allegations of sportswashing and misconduct in the beautiful game. The result is a gripping account of how football has been taken over by the world''s wealthiest businessmen, state-backed corporations, media tycoons and oil-rich oligarchs. From Neymar''s £198 million transfer to Paris Saint-Germain and Abu Dhabi''s construction empire in Manchester to failed Financial Fair Play constraints and the dawn of the European Super League, Miguel draws on exclusive interviews and unprecedented access to key stakeholders to produce an all-encompassing exposé of modern footballs highest echelons.Authoritative, riveting and eye-opening, States of Play reveals how football has become a tool for the world''s elite.______________________________''The moral compass that the game needs.'' Andy Brassell''In this excellent investigation, Delaney reveals the ugly side of the beautiful game.'' Oliver Bullough''The most important football book of its generation.'' Jack Pitt-Brooke''This book tackles the major issue affecting football today with fearlessness and forensic scrutiny. An important investigation for our times.'' Laurie Whitwell''A majestic book. The essential guide to how the people''s game has become the plaything of the very rich and powerful.'' Jonathan WilsonMiguel Delaney''s STATES OF PLAY was ranked in the Irish Times bestsellers list weeks of 11th & 18th November 2024.

Objev podobné jako States of Play - Miguel Delaney

A glorious, intimate homage to this magical country from bestselling photographer and writer Miguel Flores-Vianna A land immortalized by poets for its otherworldly beauty, Greece is the birthplace of iconic monuments that are known the world over. Yet, at the same time, it is also home to an organic architectural language, the product of centuries of rural and island lifestyles--it is the heir both to the timelessness of classical architecture and the simplicity of rustic living. This stunning volume chronicles Miguel Flores-Vianna's photographic odyssey through the beautiful Greek landscape, showcasing historical houses alongside contemporary homes, united by the colorful characters who either live or have lived in these places--the "haute bohemians." From the sophisticated residences of collectors and painters to island hideaways, centuries-old tavernas, royal follies, breathtaking gardens and even a restored sailboat, Flores-Vianna transports his armchair travel companions to a wondrous world, bathed in the glow of an ethereal light. An extraordinary range of characters emerges--including historic figures such as the shepherd Alexandros Rodakis and Queen Amalia, and contemporary creatives such as antique dealer Eleni Martinou and architect Katerina Tsigarida. Featured, too, are the homes of international residents who share a passion for this magical land, such as interior designer John Stefanidis, artists Helen and Brice Marden, and financier and philanthropist Jacob Rothschild. A self-confessed "Hellenophile" who has visited Greece countless times since his childhood, Flores-Vianna invites us to join him in paying tribute to his beloved adopted nation, capturing the character and patina of this enchanting country through his trademark intimate, atmospheric photography, and engaging texts.

Objev podobné jako Haute Bohemians: Greece - Miguel Flores-Vianna

In The Four Agreements, don Miguel Ruiz revealed how the process of our education, or "domestication," can make us forget the wisdom we were born with. Throughout our lives, we make many agreements that go against ourselves and create needless suffering. The Four Agreements help us to break these self-limiting agreements and replace them with agreements that bring us personal freedom, happiness, and love. In The Fifth Agreement, don Miguel Ruiz joins his son don Jose Ruiz to offer a fresh perspective on The Four Agreements, and a powerful new agreement for transforming our lives into our personal heaven. The Fifth Agreement takes us to a deeper level of awareness of the power of the Self, and returns us to the authenticity we were born with. In this compelling sequel to the book that has changed the lives of millions of people around the world, we are reminded of the greatest gift we can give ourselves: the freedom to be who we really are.

Objev podobné jako The Fifth Agreement - Janet Millsová, Don Jose Ruiz, Don Miguel, Jr. Ruiz

In The Circle of Fire, bestselling author, don Miguel Ruiz, inspires us to enter into a new and loving relationship with ourselves, with our fellow humans, and with all of creation. Through a selection of beautiful essays, prayers, and guided meditations, Ruiz prepares our minds for a new way of seeing life, and opens our hearts to find our way back to our birthright: heaven on earth. The result is a life lived in joy, harmony, and contentment.In my teachings, “The Circle of Fire” ceremony celebrates the most important day of our lives: the day when we merge with the fire of our spirit, and return to our own divinity. This is the day when we recover the awareness of what we really are, and make the choice to live in communion with that force of creation we call “Life” or “God.” From that day forward, we live with unconditional love in our hearts for ourselves, for life, for everything in creation.This book, first published in 2001 as “Prayers: A Communion with Our Creator,” will remind you of what you really are. It has always been my favorite book, and now in honor of my favorite prayer, it has been appropriately renamed “The Circle of Fire.” — don Miguel Ruiz

Objev podobné jako The Circle of Fire - Janet Millsová, Don Miguel, Jr. Ruiz

Cuban exile turned CIA operative Ricardo “Monkey” Morales justifies his moniker by orchestrating decades of chaos in the world of international espionage.The legend of Cuban exile turned US government operative Ricardo Morales Navarrete has been known in espionage circles for decades. Dubbed “The Monkey” for his disruptive and unpredictable escapades, Morales grabbed headlines for decades as tales of his bombings, arrests, assassination attempts (both those he executed and those he suffered), and testimony constructed a real-life spy adventure unlike anything brought to page or screen. His story delves into diverse aspects of American history, including our nation’s conflict with Cuba, our anti-communism military support overseas, JFK’s story before and after the Bay of Pigs, and the explosion of the illegal narcotics industry in 1970s Miami. Morales was a contract agent for the CIA and a valuable asset for the FBI; he even shared how he’d met Lee Harvey Oswald at a CIA camp in Florida before JFK’s assassination. Morales’s counterintelligence skills-for-hire were also a prized utility for Cuban drug kingpins in Miami, many of whom were discarded ex-CIA operatives. Monkey Morales blends James Bond, Rambo, and Scarface—a concoction of danger, politics, and family drama told in its entirety for the first time by authors Sean Oliver and Morales’s son, Ricardo Morales, Jr.

Objev podobné jako Monkey Morales - Ricardo, Jr. Morales, Sean Oliver

Superfood - ostatní Změna barevného stylu šablony pro sportovní výživu Oro Verde Maiz Morado Prášek, 250 g Oro Verde Maiz Morado je vhodný pro příznivce zdravého životního stylu i sportovce. Plody fialové kukuřice Zea mays L. jsou šetrně sklizené, ručně přebrané, usušené a následně se pomelou na jemný prášek. Prášek Oro Verde Maiz Morado můžete smíchat s vodou či mlékem, přidat do jogurtů, smoothie, müsli, pudinků i do mouky při pečení. Ukrytý je ve znovu uzavíratelném sáčku o hmotnosti 250 g. Klíčové vlastnosti prášku Oro Verde Maiz Morado Maiz Morado v práškuFialová kukuřice roste v Mexiku a PeruJejí plody jsou sklizené, ručně přebrané, usušené a následně se pomelou na jemný prášek

Objev podobné jako Oro Verde Maiz Morado prášek (MaM001)

V podání 22 duchovních autorit, jako jsou Don Miguel Ruiz, Neale Donald Walsch, Barbara Marx Hubbard, John-Roger, Terry Tillman, dr. Sue Morter, Marci Shimoff, Janet Attwood, Julie Chimes, John Perkins, William Arntz a další. Zoufalý člověk klesl na kolena a vykřikl: „Proč já? Kdo jsem?“ Upřímnost jeho otázek rozezněla celičký vesmír a prastará brána se otevřela. Přes závoj slzy uviděl, že se před ním objevila pěšinka. Poháněn neodolatelnou zvědavostí učinil první krok na cestě za poznáním mystéria Světla…

Objev podobné jako Světlo - Kniha moudrosti - Don Miguel Ruiz, Keating Keidi, kolektiv autorů, Neale Donald Walsch

PIATA DOHODA tvorí pilier súčasnej svetovej motivačnej literatúry. Don Miguel Ruiz spolu so svojím synom Donom Jose Ruizom v nej nadväzujú na úspešný bestseller Štyri dohody, ktoré vyšli aj v slovenčine. Uvádzajú čitateľa do hlbšej roviny sebauvedomovania a ukazujú spôsob, ako sa vrátiť k našej vrodenej vnútornej múdrosti. PIATA DOHODA novým spôsobom interpretuje Štyri dohody, pretože je založená na skúsenostiach, ktoré autori získali počas kurzov múdrosti starých Toltékov pre verejnosť v prvej dekáde nového tisícročia. Päť dohôd pomáha ľuďom na celom svete odpútať sa od starých nefunkčných dohôd a spôsobov myslenia a umožňuje ich nahradiť takými dohodami, ktoré prinášajú osobnú slobodu, trvalé šťastie, lásku a pokoj v duši. Ukazujú cestu k najväčšiemu daru, aký si môžeme dať: byť samými sebou...

Objev podobné jako Piata dohoda - Don Miguel Ruiz, Janet Millsová, Don Jose Ruiz

Audiokniha: Kniha moudrosti starých Toltéků. Praktický průvodce osobní svobodou. Ve Čtyřech dohodách don Miguel Ruiz odhaluje zdroj našich limitujících myšlenek, které nás okrádají o radost a přinášejí zbytečné utrpení. Kniha Čtyři dohody vychází ze staré moudrosti Toltéků a nabízí mocný nástroj, který může velmi rychle změnit naše životy a vnést do nich nový zážitek svobody, opravdového štěstí a lásky. Myšlenky v této knize jsou úzce spojeny s Jaroslavem Duškem, který už od roku 2005 hraje v klubu Lávka divadelní představení založené na knize Čtyři dohody. Nyní je svým osobitým způsobem převedl do podoby nezkrácené audioknihy. Nahrávka je výjimečná svým zpracováním i atmosférou. Celá četba je totiž doplněna bravurní kytarovou improvizací mistra Pavla Steidla.

Objev podobné jako Čtyři dohody - Don Miguel Ruiz - audiokniha

Audiokniha: Po několika letech od vydání bestselleru Čtyři dohody vychází kniha Pátá dohoda. Don Miguel Ruiz v ní spolu se svým synem donem Josem Ruizem nabízí nový pohled na Čtyři dohody. Čtyři dohody, založené na staré toltécké moudrosti, nám pomohly prolomit naše omezující přesvědčení a nahradit je názory, které nám přináší osobní svobodu, štěstí a lásku. Výsledkem praktikování páté dohody je naprosté přijetí sebe sama takových, jací jsme, a naprosté přijetí všech ostatních lidí takových, jací jsou. Pátá dohoda chce přinést lidem na celém světě svobodu být sami sebou.

Objev podobné jako Pátá dohoda - Don Miguel Ruiz - audiokniha

Audiokniha: Toltécká tradice říká, že k naší pravé povaze nás vede štěstí, svoboda a láska. Chceme-li najít svobodu, musíme si uvědomit, čím opravdu jsme a osvobodit se od znalostí, jež nás zotročují. Láska je potom z hlediska Toltéků výsledkem dokonalého zvládnutí vlastního vědomí. Je samotný život. Naučíme-li se opravdu milovat, začneme žít v harmonii s duchem života, který proudí naším tělem. Nejsme už tělem nebo myslí nebo duší; jsme Láskou. Každý čin je projevem Lásky a Láska nám přináší štěstí. V pokračování bestsellerových Čtyř dohod a Páté dohody Don Miguel Ruiz vysvětluje názory a předpoklady vycházející ze strachu, které podkopávají lásku a vedou k utrpení v našich partnerských vztazích. V několika moudrých příbězích nám ukazuje, jak léčit emoční rány, znovu nabýt svobodu, radost a hravost, na které máme všichni právo.

Objev podobné jako Láska, vztahy a přátelství - Don Miguel Ruiz - audiokniha

Audiokniha: Voják, námořník, otrok, invalida, dodavatel armády, výběrčí daní, člověk odsouzený pro dluhy, souzený za vraždu, exkomunikovaný z církve a snad nejslavnější španělský spisovatel - to je Miguel de Cervantes y Saavedra. Jeho Don Quijote de La Mancha patří k nesmrtelným literárním postavám, kterou není potřeba představovat. Příběhy slavné dvojce sluhy a pána na jejich pouti světem vám nabízíme tentokrát ve dvoudílné dramatizaci z roku 1988 pod názvem Odkaz Dona Quijota. Jako vypravěč vás dějem provede Miroslav Horníček a v roli rytíře smutné postavy uslyšíte Josefa Kemra. Dále hrají Ladislav Mrkvička, Klára Jerneková, Marie Marešová, Josef Vinklář, Vladimír Krška, Jaroslav Moučka, Jiří Prager, Jiří Bruder, Miroslav Táborský, Marek Eben, Josef Somr a další.

Objev podobné jako Odkaz dona Quijota - Miguel de Cervantes y Saavedra - audiokniha

Audiokniha: Don Miguel Ruiz popsal ve Čtyřech dohodách – Knize moudrosti starých Toltéků jednoduchý, ale mocný kód chování, který pomáhá dosáhnout osobní svobody a opravdového štěstí. Pracovní kniha hlouběji rozvíjí myšlenky Čtyř dohod a pomocí praktických cvičení a zamyšlení vede posluchače k odhalení zdrojů špatných životních návyků a myšlenkových vzorců, které nás připravují o životní radost a působí zbytečné utrpení. Pracovní kniha ke Čtyřem dohodám otevírá nový přístup k vlastnímu nitru a je průvodcem na cestě k životu plnému větší osobní svobody, lásky a autentického prožívání.

Objev podobné jako Čtyři dohody – pracovní kniha - Don Miguel Ruiz, Janet Millsová - audiokniha