machine learning for dummies john paul mueller luca massaron
Machine Learning For Dummies - John Paul Mueller, Luca Massaron
The most human-friendly book on machine learning Somewhere buried in all the systems that drive artificial intelligence, you'll find machine learning—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 go—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
Artificial Intelligence For Dummies - John Paul Mueller, Luca Massaron, Stephanie Diamond
Dive into the intelligence that powers artificial intelligence Artificial intelligence is swiftly moving from a sci-fi future to a modern reality. This edition of Artificial Intelligence For Dummies keeps pace with the lighting-fast expansion of AI tools that are overhauling every corner of reality. This book demystifies how artificial intelligence systems operate, giving you a look at the inner workings of AI and explaining the important role of data in creating intelligence. You'll get a primer on using AI in everyday life, and you'll also get a glimpse into possible AI-driven futures. What's next for humanity in the age of AI? How will your job and your life change as AI continue to evolve? How can you take advantage of AI today to make your live easier? This jargon-free Dummies guide answers all your most pressing questions about the world of artificial intelligence. Learn the basics of AI hardware and software, and how intelligence is created from codeGet up to date with the latest AI trends and disruptions across industriesWrap your mind around what the AI revolution means for humanity, and for youDiscover tips on using generative AI ethically and effectively Artificial Intelligence For Dummies is the ideal starting point ... Unknown localization key: "more"
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Python for Data Science For Dummies - John Paul Mueller, Luca Massaron
Let Python do the heavy lifting for you as you analyze large datasets Python for Data Science For Dummies lets you get your hands dirty with data using one of the top programming languages. This beginner’s guide takes you step by step through getting started, performing data analysis, understanding datasets and example code, working with Google Colab, sampling data, and beyond. Coding your data analysis tasks will make your life easier, make you more in-demand as an employee, and open the door to valuable knowledge and insights. This new edition is updated for the latest version of Python and includes current, relevant data examples. Get a firm background in the basics of Python coding for data analysisLearn about data science careers you can pursue with Python coding skillsIntegrate data analysis with multimedia and graphics Manage and organize data with cloud-based relational databasesPython careers are on the rise. Grab this user-friendly Dummies guide and gain the programming skills you need to become a data pro.
Objev podobné jako Python for Data Science For Dummies - John Paul Mueller, Luca Massaron
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Beginning Programming with Python For Dummies - John Paul Mueller
Create simple, easy programs in the popular Python language Beginning Programming with Python For Dummies is the trusted way to learn the foundations of programming using the Python programming language. Python is one of the top-ranked languages, and there’s no better way to get started in computer programming than this friendly guide. You’ll learn the basics of coding and the process of creating simple, fun programs right away. This updated edition features new chapters, including coverage of Google Colab, plus expanded information on functions and objects, and new examples and graphics that are relevant to today’s beginning coders. Dummies helps you discover the wealth of things you can achieve with Python. Employ an online coding environment to avoid installation woes and code anywhere, any time Learn the basics of programming using the popular Python language Create easy, fun projects to show off your new coding chops Fix errors in your code and use Python with external data sets Beginning Programming with Python For Dummies will get new programmers started—the easy way.Â
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Machine Learning for Managers - Paul Geertsema
Machine learning can help managers make better predictions, automate complex tasks and improve business operations. Managers who are familiar with machine learning are better placed to navigate the increasingly digital world we live in. There is a view that machine learning is a highly technical subject that can only be understood by specialists. However, many of the ideas that underpin machine learning are straightforward and accessible to anyone with a bit of curiosity. This book is for managers who want to understand what machine learning is about, but who lack a technical background in computer science, statistics or math. The book describes in plain language what machine learning is and how it works. In addition, it explains how to manage machine learning projects within an organization. This book should appeal to anyone that wants to learn more about using machine learning to drive value in real-world organizations.
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Introduction to Machine Learning with Python - Andreas C. Mueller
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
Machine Learning for Business Analytics
Machine Learning is an integral tool in a business analyst’s arsenal because the rate at which data is being generated from different sources is increasing and working on complex unstructured data is becoming inevitable. Data collection, data cleaning, and data mining are rapidly becoming more difficult to analyze than just importing information from a primary or secondary source. The machine learning model plays a crucial role in predicting the future performance and results of a company. In real-time, data collection and data wrangling are the important steps in deploying the models. Analytics is a tool for visualizing and steering data and statistics. Business analysts can work with different datasets -- choosing an appropriate machine learning model results in accurate analyzing, forecasting the future, and making informed decisions. The global machine learning market was valued at $1.58 billion in 2017 and is expected to reach $20.83 billion in 2024 -- growing at a CAGR of 44.06% between 2017 and 2024. The authors have compiled important knowledge on machine learning real-time applications in business analytics. This book enables readers to get broad knowledge in the field of machine learning models and to carry out their future research work. The future trends of ... Unknown localization key: "more"
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Machine Learning for Business Analytics - Peter Gedeck, Galit Shmueli, Peter C. Bruce, Nitin R. Patel, Inbal Yahav
MACHINE LEARNING FOR BUSINESS ANALYTICS Machine learning —also known as data mining or data 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 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 ... Unknown localization key: "more"
Objev podobné jako Machine Learning for Business Analytics - Peter Gedeck, Galit Shmueli, Peter C. Bruce, Nitin R. Patel, Inbal Yahav
Machine Learning for Business Analytics - Galit Shmueli, Peter C. Bruce, Nitin R. Patel, Kuber R. Deokar
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 ... Unknown localization key: "more"
Objev podobné jako Machine Learning for Business Analytics - Galit Shmueli, Peter C. Bruce, Nitin R. Patel, Kuber R. Deokar
Neurodiversity For Dummies - John Marble, Ranga Jayaraman, Khushboo Chabria
A quick and easy way to understand neurodiversity as written by neurodivergent people and our families Neurodiversity For Dummies is your essential guide in understanding neurodivergent conditions like autism, ADHD, dyslexia, and more. This quick and easy guide is perfect for anyone needing to know more about neurodiversity. And that’s all of us—because recent estimates say that 15-20% of the world’s population have some form of neurodivergence. Your life is filled with neurodivergent people that you know and love, whether you realize it yet or not. It’s time to learn to support and include the neurodivergent among us, and to understand how neurodiversity impacts society and the workplace. This is for the neurodivergent person wanting to thrive in life, for parents and caregivers seeking success for their child, and for teachers who are working to make a difference in their students’ lives. Filled with practical advice, Neurodiversity for Dummies also provides a helping hand to service providers, assistance for workplace managers and colleagues, and understanding for family members and friends. Imagine a world where we all understood ourselves better and appreciated more deeply the differences in others. No matter how your own brain thinks, Neurodiversity for Dummies is for you. ... Unknown localization key: "more"
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Applied Machine Learning for Data Science Practitioners - Vidya Subramanian
A single-volume reference on data science techniques for evaluating and solving business problems using Applied Machine Learning (ML). Applied Machine Learning for Data Science Practitioners offers a practical, step-by-step guide to building end-to-end ML solutions for real-world business challenges, empowering data science practitioners to make informed decisions and select the right techniques for any use case. Unlike many data science books that focus on popular algorithms and coding, this book takes a holistic approach. It equips you with the knowledge to evaluate a range of techniques and algorithms. The book balances theoretical concepts with practical examples to illustrate key concepts, derive insights, and demonstrate applications. In addition to code snippets and reviewing output, the book provides guidance on interpreting results. This book is an essential resource if you are looking to elevate your understanding of ML and your technical capabilities, combining theoretical and practical coding examples. A basic understanding of using data to solve business problems, high school-level math and statistics, and basic Python coding skills are assumed. Written by a recognized data science expert, Applied Machine Learning for Data Science Practitioners covers essential topics, including: Data Science Fundamentals that provide you with an overview of core concepts, laying the ... Unknown localization key: "more"
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Machine Learning for Text - Charu C. Aggarwal
This second edition textbook covers a coherently organized framework for text analytics, which integrates material drawn from the intersecting topics of information retrieval, machine learning, and natural language processing. Particular importance is placed on deep learning methods. The chapters of this book span three broad categories:1. Basic algorithms: Chapters 1 through 7 discuss the classical algorithms for text analytics such as preprocessing, similarity computation, topic modeling, matrix factorization, clustering, classification, regression, and ensemble analysis. 2. Domain-sensitive learning and information retrieval: Chapters 8 and 9 discuss learning models in heterogeneous settings such as a combination of text with multimedia or Web links. The problem of information retrieval and Web search is also discussed in the context of its relationship with ranking and machine learning methods. 3. Natural language processing: Chapters 10 through 16 discuss various sequence-centric and natural language applications, such as feature engineering, neural language models, deep learning, transformers, pre-trained language models, text summarization, information extraction, knowledge graphs, question answering, opinion mining, text segmentation, and event detection. Compared to the first edition, this second edition textbook (which targets mostly advanced level students majoring in computer science and math) has substantially more material on deep learning and natural language processing. Significant ... Unknown localization key: "more"
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A Guide to Applied Machine Learning for Biologists
This textbook is an introductory guide to applied machine learning, specifically for biology students. It familiarizes biology students with the basics of modern computer science and mathematics and emphasizes the real-world applications of these subjects. The chapters give an overview of computer systems and programming languages to establish a basic understanding of the important concepts in computer systems. Readers are introduced to machine learning and artificial intelligence in the field of bioinformatics, connecting these applications to systems biology, biological data analysis and predictions, and healthcare diagnosis and treatment. This book offers a necessary foundation for more advanced computer-based technologies used in biology, employing case studies, real-world issues, and various examples to guide the reader from the basic prerequisites to machine learning and its applications.
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Data Science and Machine Learning for Non-Programmers - Dothang Truong
As data continues to grow exponentially, knowledge of data science and machine learning has become more crucial than ever. Machine learning has grown exponentially; however, the abundance of resources can be overwhelming, making it challenging for new learners. This book aims to address this disparity and cater to learners from various non-technical fields, enabling them to utilize machine learning effectively.Adopting a hands-on approach, readers are guided through practical implementations using real datasets and SAS Enterprise Miner, a user-friendly data mining software that requires no programming. Throughout the chapters, two large datasets are used consistently, allowing readers to practice all stages of the data mining process within a cohesive project framework. This book also provides specific guidelines and examples on presenting data mining results and reports, enhancing effective communication with stakeholders.Designed as a guiding companion for both beginners and experienced practitioners, this book targets a wide audience, including students, lecturers, researchers, and industry professionals from various backgrounds.
Objev podobné jako Data Science and Machine Learning for Non-Programmers - Dothang Truong
Visible Learning for Teachers - John Hattie
In November 2008, John Hattie’s ground-breaking book Visible Learning synthesised the results of more than fifteen years research involving millions of students and represented the biggest ever collection of evidence-based research into what actually works in schools to improve learning.Visible Learning for Teachers takes the next step and brings those ground breaking concepts to a completely new audience. Written for students, pre-service and in-service teachers, it explains how to apply the principles of Visible Learning to any classroom anywhere in the world. The author offers concise and user-friendly summaries of the most successful interventions and offers practical step-by-step guidance to the successful implementation of visible learning and visible teaching in the classroom.This book:links the biggest ever research project on teaching strategies to practical classroom implementationchampions both teacher and student perspectives and contains step by step guidance including lesson preparation, interpreting learning and feedback during the lesson and post lesson follow upoffers checklists, exercises, case studies and best practice scenarios to assist in raising achievementincludes whole school checklists and advice for school leaders on facilitating visible learning in their institutionnow includes additional meta-analyses bringing the total cited within the research to over 900comprehensively covers numerous areas of learning activity including pupil ... Unknown localization key: "more"
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Machine Learning for Kids - Dale Lane
Machine Learning for Kids introduces young readers to the concept of Artificial Intelligence (AI) and the related applications of Machine Learning. Readers learn how to create intelligent games like a rock-paper-scissors game that can learn hand motions and use them to compete against another player; a post sorting game that will recognise the postal code on an envelope and use it to send a letter to the right place. Each project demonstrates a different way that AI is used in the real-world, and readers will be introduced to the biggest issues and challenges that the adoption of AI brings to society.
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The Internet For Dummies - John R. Levine, Margaret Levine Young
Get up and running on the Internet the fast and easy way If you're an Internet newcomer and want to get up to speed without all the intimidating technical jargon, The Internet For Dummies has you covered. With over 5,000,000 copies sold*, The Internet For Dummies is the #1 choice for Internet newcomers.
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Accounting For Dummies - John A. Tracy, Tage C. Tracy
Demystify your financial statements and figure out what your accountant is talking about with this straightforward roadmap to the world of accounting Few skills are as useful as a basic understanding of accounting language. And with the right resources, learning the language of business can be intuitive, empowering, and fun. Accounting For Dummies is the perfect place to start, whether you're operating a small business, just need help managing the family budget, or you're a rising star in corporate America. It's a financial blueprint for the everyday person, easy-to-understand, and full of practical advice. You'll learn the basic ABC's of accounting, how to read and understand financial statements, create best in class budgets & forecasts, craft profitable business plans, take control of your own finances, gain insight on how companies get money from investors and banks, and avoid common money mistakes that trip up even the best of us. You'll also find out how to: Diagnose the financial health of your business and make a realistic plan to grow your companyImprove your own or your family's money situation with sound financial planning and understandingUnderstand each of the three basic financial statements and what they say about a company's past, present, ... Unknown localization key: "more"
Objev podobné jako Accounting For Dummies - John A. Tracy, Tage C. Tracy
Arduino For Dummies - John Nussey
Bring your ideas to life with the latest Arduino hardware and software Arduino is an affordable and readily available hardware development platform based around an open source, programmable circuit board. You can combine this programmable chip with a variety of sensors and actuators to sense your environment around you and control lights, motors, and sound. This flexible and easy-to-use combination of hardware and software can be used to create interactive robots, product prototypes and electronic artwork, whether you’re an artist, designer or tinkerer. Arduino For Dummies is a great place to start if you want to find out about Arduino and make the most of its incredible capabilities. It helps you become familiar with Arduino and what it involves, and offers inspiration for completing new and exciting projects. •    Covers the latest software and hardware currently on the market •    Includes updated examples and circuit board diagrams in addition to new resource chapters •    Offers simple examples to teach fundamentals needed to move onto more advanced topics •    Helps you grasp what’s possible with this fantastic little board Whether you’re a teacher, student, programmer, hobbyist, hacker, engineer, designer, ... Unknown localization key: "more"
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DJing For Dummies - John Steventon
DJ like a pro without skipping a beat The bestselling guide to spinning and scratching is back! If you've ever spent hours in your bedroom with two turntables and an earful of tracks that sound off-beat or out of key, DJing For Dummies is the go-to guide for taking your skills to the next level.
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Machine Learning for Computer Scientists and Data Analysts - Houman Homayoun, Zhiqian Chen, Setareh Rafatirad, Sai Manoj Pudukotai Dinakarrao
This textbook introduces readers to the theoretical aspects of machine learning (ML) algorithms, starting from simple neuron basics, through complex neural networks, including generative adversarial neural networks and graph convolution networks. Most importantly, this book helps readers to understand the concepts of ML algorithms and enables them to develop the skills necessary to choose an apt ML algorithm for a problem they wish to solve. In addition, this book includes numerous case studies, ranging from simple time-series forecasting to object recognition and recommender systems using massive databases. Lastly, this book also provides practical implementation examples and assignments for the readers to practice and improve their programming capabilities for the ML applications.
Objev podobné jako Machine Learning for Computer Scientists and Data Analysts - Houman Homayoun, Zhiqian Chen, Setareh Rafatirad, Sai Manoj Pudukotai Dinakarrao
Running For Dummies - John Hanc, Florence Griffith Joyner
Running For Dummies is for everyone with a desire to run. If you're a reforming couch potato, it helps ease you into a healthier lifestyle. If you have Olympic aspirations, take a look at different ways to improve your training.
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Poetry For Dummies - John Timpane, The Poetry Center
A guide to reading, writing and appreciating poetry - the fun and easy way. Advice is given on how to polish and submit work to journals and literary publications, and a list of the best publications for first-time poets is included.
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Weather For Dummies - John D. Cox
What in the world is going on up there? Look up! It’s a bird; it’s a plane; it’s a Polar mesospheric cloud! When you look to the sky, do you wonder why the Sun is so bright or why the clouds are white or why the sky is blue? Then, Weather For Dummies is your resource to fuel your curiosity about the weather. It takes you on an exciting journey through the Earth's atmosphere and the ways it behaves. You’ll get an overview of rain, Sun, clouds, storms and other phenomena.  With helpful photographs and illustrations, you can easily visualize different weather types and relate them into the world around you. The scientific words and phrases are explained in detail (what is barometric pressure?), your curious questions are answered (why do we have seasons?), and the roots of weather myths, proverbs, and sayings are revealed (“early thunder, early springâ€).  Discover how weather forecasts are made, and what constitutes a weather emergency Find out what causes change in weather, such as how air pressure drives winds Learn how climate change is affecting today’s weather Discover how light plays tricks on our eyes to create effects like rainbows, sun dogs, ... Unknown localization key: "more"
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Import / Export Kit For Dummies - John J. Capela
With a focus on global trade, this book provides entrepreneurs and small-to mid-sized businesses with the information they need to begin exporting their products around the world-as well as importing goods to sell. It shows you how to follow guidelines for developing a successful business and marketing plan.
Objev podobné jako Import / Export Kit For Dummies - John J. Capela
Learning A New Language For Dummies - Maria J. Cabrera-Puche
Strategies, tools, and motivation for learning a new language Learning A New Language For Dummies explains how you can create a personal plan to achieve your language learning goals. Get research-based suggestions for speeding up your language acquisition and learn about the benefits of leveling up your linguistic ability. Even if you've never studied a language before, this easy-to-understand guide will prepare you to pick the learning methods that will work best for you. You#ll also get an intro to the basics of how humans learn languages, so you can stay motivated, set realistic goals, and achieve success. No matter what language you want to learn, this Dummies guide will help you start off on the right foot. Choose a language learning approach that fits you and your lifestyleGet step-by-step guidance for making a plan and setting achievable goalsLearn techniques and strategies for learning quicker and retaining moreImprove your odds of success with a foundation of knowledge about the learning process Anyone considering learning a new language or refreshing their knowledge of a language—and language teachers, too—will love Learning a New Language For Dummies.
Objev podobné jako Learning A New Language For Dummies - Maria J. Cabrera-Puche
Ensemble Methods for Machine Learning - Gautam Kunapuli
Many machine learning problems are too complex to be resolved by a single model or algorithm. Ensemble machine learning trains a group of diverse machine learning models to work together to solve a problem. By aggregating their output, these ensemble models can flexibly deliver rich and accurate results. Ensemble Methods for Machine Learning is a guide to ensemble methods with proven records in data science competitions and real world applications. Learning from hands-on case studies, you''ll develop an under-the-hood understanding of foundational ensemble learning algorithms to deliver accurate, performant models. About the Technology Ensemble machine learning lets you make robust predictions without needing the huge datasets and processing power demanded by deep learning. It sets multiple models to work on solving a problem, combining their results for better performance than a single model working alone. This "wisdom of crowds" approach distils information from several models into a set of highly accurate results.
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Mathematics for Machine Learning - A. Aldo Faisal, Marc Peter Deisenroth, Cheng Soon Ong
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
Chemistry Essentials For Dummies - Moore John T.
Chemistry Essentials For Dummies (9781119591146) was previously published as Chemistry Essentials For Dummies (9780470618363). While this version features a new Dummies cover and design, the content is the same as the prior release and should not be considered a new or updated product. Whether studying chemistry as part of a degree requirement or as part of a core curriculum, students will find Chemistry Essentials For Dummies to be an invaluable quick reference guide to the fundamentals of this often challenging course. Chemistry Essentials For Dummies contains content focused on key topics only, with discrete explanations of critical concepts taught in a typical two-semester high school chemistry class or a college level Chemistry I course, from bonds and reactions to acids, bases, and the mole. This guide is also a perfect reference for parents who need to review critical chemistry concepts as they help high school students with homework assignments, as well as for adult learners headed back into the classroom who just need to a refresher of the core concepts. The Essentials For Dummies SeriesDummies is proud to present our new series, The Essentials For Dummies. Now students who are prepping for exams, preparing to study new material, or who ... Unknown localization key: "more"
Objev podobné jako Chemistry Essentials For Dummies - Moore John T.
Football For Dummies, USA Edition - Howie Long, John Czarnecki
Learn how to tell a first down from a touchdown and get up to speed on the latest trends in the sport Football For Dummies is a comprehensive fan’s guide to football and its many components. This updated edition includes coverage of new players, rules, and strategies. With deep explanations of every position, analysis of offense and defense, and detailed strategies for play, football legend Howie Long and established football analyst John Czarnecki present the basics of football for fans of all ages and experiences. Get the working knowledge that you need to follow the game of football and enjoy it with friends and family. The book covers everything you need to be the most knowledgeable spectator in the stadium! Learn the rules of football so you can follow what’s happening in the gameIncrease your enjoyment of football by discovering the nuances you don’t knowKeep up with friends and family when you watch games together, in person, or on TVGet up to date on the latest players, rule changes, and top strategiesThis fun Dummies guide is for everyone who is interested in football and wants to get familiar with the sport, including its history, so they can watch games in ... Unknown localization key: "more"
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System Design for Epidemics Using Machine Learning and Deep Learning
This book explores the benefits of deploying Machine Learning (ML) and Artificial Intelligence (AI) in the health care environment. The authors study different research directions that are working to serve challenges faced in building strong healthcare infrastructure with respect to the pandemic crisis. The authors take note of obstacles faced in the rush to develop and alter technologies during the Covid crisis. They study what can be learned from them and what can be leveraged efficiently. The authors aim to show how healthcare providers can use technology to exploit advances in machine learning and deep learning in their own applications. Topics include remote patient monitoring, data analysis of human behavioral patterns, and machine learning for decision making in real-time.
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HTML, CSS, & JavaScript All-in-One For Dummies - Paul McFedries
A thorough and helpful reference for aspiring website builders Looking to start an exciting new career in front-end web building and design? Or maybe you just want to develop a new skill and create websites for fun. Whatever your reasons, it’s never been easier to start learning how to build websites from scratch than with help from HTML, CSS, & JavaScript All-in-One For Dummies. This book has the essentials you need to wrap your head around the key ingredients of website design and creation. You’ll learn to build attractive, useful, and easy-to-navigate websites by combining HTML, CSS, and JavaScript into fun and practical creations. Using the 6 books compiled within this comprehensive collection, you’ll discover how to make static and dynamic websites, complete with intuitive layouts and cool animations. The book also includes: Incorporate the latest approaches to HTML, CSS, and JavaScript, including those involving new markup, page styles, interactivity, and moreStep-by-step instructions for new site creators explaining the very basics of page layouts and animationsEasy-to-follow advice for adjusting page color and background, adding widgets to a site, and getting rid of all the bugs that affect site performanceBonus 6th book available at https://www.wiley.com/en-us/HTML%2C+CSS%2C+%26amp%3B+JavaScript+All+in+One+For+Dummies-p-9781394164721. Web development is a fun, interesting, ... Unknown localization key: "more"
Objev podobné jako HTML, CSS, & JavaScript All-in-One For Dummies - Paul McFedries
Grokking Machine Learning - Luis Serrano
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 ... Unknown localization key: "more"
Objev podobné jako Grokking Machine Learning - Luis Serrano
Investing in Shares For Dummies - UK - David Stevenson, Paul Mladjenovic
Get your slice of the economic pie and then some, in the UK and beyond Investing in shares can help build anyone's financial standing—move over, economic elite! People from all walks of life can easily grow their wealth and secure money for the future. Investing in Shares For Dummies takes a friendly, non-jargony approach for new and not-quite-advanced-yet shareholders. This book walks you through the investment orchard so you can cherry-pick shares that will turn you a tidy profit (mmm, tasty.) You'll also learn to stay calm and ride the unavoidable waves of the markets. Over the long term, you stand to earn greater returns (translation: more money) than if you invested in real estate or bonds alone. And who isn't keen on the idea of more money? This latest edition is up-to-date with the top investing apps, investing with ETFs, thematic investing, trading shares in the US and other nations, and everything else you might be curious about as you start building a rock-solid portfolio. With Investing in Shares For Dummies, you will: Get to know the stock markets to decide if shares investing is right for youPlan your investing strategy and take risks that make sense for your ... Unknown localization key: "more"
Objev podobné jako Investing in Shares For Dummies - UK - David Stevenson, Paul Mladjenovic
Coding For Dummies, All New Edition - Paul McFedries
Your first step toward thinking like a coder Coding For Dummies is one of the most popular get-started guides for new coders. This all- new edition demystifies essential coding concepts before diving into building simple apps in Python and JavaScript. For anyone brand-new to writing code, this book is an ideal first step, because you'll get an overview of how coding works, the essential tools of coding, and how to apply coding in different ways. Plus, you'll get insight into how new tools like AI can quickly boost your coding know-how. Enter the world of code with this easy-to-follow Dummies guide! Learn the basics of coding, including key concepts you'll need in every coding languageGet a rundown of the most popular language, and start coding in JavaScript and PythonFollow step-by-step instructions to build your first appsDiscover how AI can help you become a better, faster coder Looking for a foundation in the basics of coding, plus simple tasks to help you get started? Coding For Dummies is the book for you.
Objev podobné jako Coding For Dummies, All New Edition - Paul McFedries
Stock Investing For Dummies - Paul Mladjenovic
Get started with stock investing and achieve your personal finance goals The bestselling Stock Investing For Dummies is full of practical and realistic stock market guidance. Today's market is full of surprises, and this book will help you understand all aspects of the investing process, so you can thrive as an investor, come what may. With straightforward direction from a renowned best-selling author and national financial authority , this book discusses the many different ways you can invest in stocks, so you can create a portfolio that works for you. You'll also find updates on the latest trends and growth opportunities, plus insights into what it means to invest wisely in the current financial environment. Be confident in your investment decisions, thanks to this sound Dummies advice. Build a strategic stock portfolio that meets your needsDiscover the basics of investing, including how to invest in difficult marketsLearn how to invest in AI and how to make the most of AI investing toolsExplore ETFs, preferred stocks, options, factor investing, stock warrants , and beyond This is a great Dummies guide for new investors looking for a comprehensive guide on the current stock market, as well as those looking to brush up ... Unknown localization key: "more"
Objev podobné jako Stock Investing For Dummies - Paul Mladjenovic
Web Coding & Development All-in-One For Dummies - Paul McFedries
Learn the in-demand skills that let you turn lines of code into websites and apps Web Coding & Development All-in-One For Dummies is a one-stop resource for would-be developers who need guidance on the languages and steps used to build websites and applications. Learn the coding ropes and expand your existing skillset with this easy-to-understand guide. In these complete mini-books, you’ll walk through the basics of web development, structuring a page, building and processing web forms, and beyond. Learn how to build a website or create your very own app with the advice of web coding and development experts. This edition expands JavaScript and CSS coverage while providing new content on server-side coding and the development stack. Get essential knowledge of how web development works—even if you’ve never written a line of code in your lifeLearn HTML, CSS, JavaScript, and other languages essential for building websites and appsDiscover how to make optimize your sites and apps for mobile devicesExpand on what you already know and improve your employabilityThis Dummies All-in-One is great for you if want to develop coding skills but don’t have a programming background. It’s also perfect for professionals looking to brush up on their web development skills ... Unknown localization key: "more"
Objev podobné jako Web Coding & Development All-in-One For Dummies - Paul McFedries
GMAT Prep 2024/2025 For Dummies (GMAT Focus Edition): Book + 3 Practice Tests + Flashcards Online - Lisa Zimmer Hatch, Scott A. Hatch, Sandra Luna McC
Get on the road to business school with comprehensive review and 3 practice tests GMAT Prep 2024/2025 For Dummies is a must-have to scoring your highest on the GMAT and earning your MBA. Updated for the new GMAT Focus Edition, this trusted guide will walk you through the basics of what’s on the test and give you test-taking strategies that will help you make the most of the available time. You’ll get a comprehensive review of all the GMAT content—data insights, verbal reasoning, and quantitative reasoning. Then it’s time to practice, with flashcards and 3 full-length practice tests. Detailed study plans help you prep wisely, no matter how much time you have before test day. Grab this Dummies guide to master the GMAT! Create a targeted study plan with a diagnostic pre-assessmentTake full-length practice GMAT tests so you’ll be ready for the real thingMaximize your chances of getting into the business school of your choice GMAT Prep 2024/2025 For Dummies will help you land a higher score on this important exam.
Objev podobné jako GMAT Prep 2024/2025 For Dummies (GMAT Focus Edition): Book + 3 Practice Tests + Flashcards Online - Lisa Zimmer Hatch, Scott A. Hatch, Sandra Luna McC
Machine Learning in Elixir - Sean Moriarity
Stable Diffusion, ChatGPT, Whisper - these are just a few examples of incredible applications powered by developments in machine learning. Despite the ubiquity of machine learning applications running in production, there are only a few viable language choices for data science and machine learning tasks. Elixir''s Nx project seeks to change that. With Nx, you can leverage the power of machine learning in your applications, using the battle-tested Erlang VM in a pragmatic language like Elixir. In this book, you''ll learn how to leverage Elixir and the Nx ecosystem to solve real-world problems in computer vision, natural language processing, and more.The Elixir Nx project aims to make machine learning possible without the need to leave Elixir for solutions in other languages. And even if concepts like linear models and logistic regression are new to you, you''ll be using them and much more to solve real-world problems in no time.Start with the basics of the Nx programming paradigm - how it differs from the Elixir programming style you''re used to and how it enables you to write machine learning algorithms. Use your understanding of this paradigm to implement foundational machine learning algorithms from scratch. Go deeper and discover the power of ... Unknown localization key: "more"
Objev podobné jako Machine Learning in Elixir - Sean Moriarity
Human and Machine Learning
With an evolutionary advancement of Machine Learning (ML) algorithms, a rapid increase of data volumes and a significant improvement of computation powers, machine learning becomes hot in different applications. However, because of the nature of "black-box" in ML methods, ML still needs to be interpreted to link human and machine learning for transparency and user acceptance of delivered solutions. This edited book addresses such links from the perspectives of visualisation, explanation, trustworthiness and transparency. The book establishes the link between human and machine learning by exploring transparency in machine learning, visual explanation of ML processes, algorithmic explanation of ML models, human cognitive responses in ML-based decision making, human evaluation of machine learning and domain knowledge in transparent ML applications.This is the first book of its kind to systematically understand the current active research activities and outcomes related to human and machine learning. The book will not only inspire researchers to passionately develop new algorithms incorporating human for human-centred ML algorithms, resulting in the overall advancement of ML, but also help ML practitioners proactively use ML outputs for informative and trustworthy decision making.This book is intended for researchers and practitioners involved with machine learning and its applications. The book will especially ... Unknown localization key: "more"
Objev podobné jako Human and Machine Learning
Wilderness Survival For Dummies - Cameron M. Smith, John F. Haslett
Be prepared for anything, so you can explore where others fear to tread Wilderness Survival For Dummies takes a practical approach to teaching you the skills you need to stay alive outside. Learn survival skills the Dummies way, with helpful diagrams and illustrations, step-by-step instructions, and tips from the pros. With expert tips and easy-to-follow instructions in this book, you’ll know what to do to survive in the wild. Stay calm, deal with the elements, make fire, find drinking water, and navigate your way to safety, thanks to your newfound survival skills. Enjoy the great outdoors with the confidence to take the path less traveledGain knowledge that will help you stay safe if the unexpected happensDeal with extreme weather events, make shelter, learn to signal for help Learn navigation skills so you can find your way home if you get lostYou’re ready to take your love of nature to the next level and explore the wilderness. From forests and jungles to deserts, cold weather climates, and everything in between, you need this Dummies guide to stay safe while backpacking, sailing, camping, and adventuring …wherever.
Objev podobné jako Wilderness Survival For Dummies - Cameron M. Smith, John F. Haslett
Python Essentials For Dummies - Alan Simpson, John C. Shovic
The no-nonsense way to get started coding in the Python programming language Python Essentials For Dummies is a quick reference to all the core concepts in Python, the multifaceted general-purpose language used for everything from building websites to creating apps. This book gets right to the point, with no excess review, wordy explanations, or fluff, making it perfect as a desk reference on the job or as a brush-up as you expand your skills in related areas. Focusing on just the essential topics you need to know to brush up or level up your Python skill, this is the reliable little book you can always turn to for answers. Get a quick and thorough intro to the basic concepts of coding in PythonReview what you've already learned or pick up essential new skillsCreate websites, software, machine learning, and automation for school or workKeep this concise reference book handy for jogging your memory as you code This portable Dummies Essentials book focuses on the key topics you need to know about the popular Python language. Great for supplementing a course, reviewing for a certification, or staying knowledgeable on the job.
Objev podobné jako Python Essentials For Dummies - Alan Simpson, John C. Shovic
Java Essentials For Dummies - Paul McFedries, Doug Lowe
Swiftly brush up on the foundations of Java programming Java Essentials For Dummies is a reliable and succinct reference on the core components of Java—the multifaceted general-purpose language used for desktop, mobile, and web applications. This straightforward book gets right to the point—eliminating review material and wordy explanations—so you get what you need, fast. Strengthen your understanding of the basics of coding with JavaReview what you've already learned or pick up key skillsUse Java to build a variety of applications and moreJog your memory on the essentials as you work and get clear answers to your questions Perfect for supplementing classroom learning, reviewing for a certification, or staying knowledgeable on the job, Java Essentials For Dummies is a direct reference that's great to keep on hand as an everyday desk reference.
Objev podobné jako Java Essentials For Dummies - Paul McFedries, Doug Lowe
Chemistry For Dummies - Moore John T.
Chemistry For Dummies, 2nd Edition (9781119293460) was previously published as Chemistry For Dummies, 2nd Edition (9781118007303). While this version features a new Dummies cover and design, the content is the same as the prior release and should not be considered a new or updated product.
Objev podobné jako Chemistry For Dummies - Moore John T.
Machine Learning Algorithms in Depth - Vadim Smolyakov
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 ... Unknown localization key: "more"
Objev podobné jako Machine Learning Algorithms in Depth - Vadim Smolyakov
Investing in Stocks For Dummies - Paul Mladjenovic
Yes, you can make money in the stock market—this guide shows you how Investing in Stocks For Dummies gives you a straightforward introduction to stock investing. You’ll learn the basics of buying and selling stocks, including how to research stocks and the factors that influence their performance. Even in an uncertain and challenging marketplace, you can profit by making smart financial decisions and investing wisely. This book explains how to calculate net worth, deal with tax laws, and do all the things that will make you a successful investor. This Dummies guide is packed with clear instructions and solid advice so you can start investing with confidence. Learn how to choose the best stocks for your goals and create a diverse portfolioUnderstand the risks involved in stock investing and choose a strategy that worksNavigate the market’s ups and downs with time-tested techniquesPlan for your financial future and invest according to your timelineThe expert info in this book will start you off on the right foot as you begin your journey down Wall Street.
Objev podobné jako Investing in Stocks For Dummies - Paul Mladjenovic
Machine Learning in Production - Christian Kastner
A practical and innovative textbook detailing how to build real-world software products with machine learning components, not just models.Traditional machine learning texts focus on how to train and evaluate the machine learning model, while MLOps books focus on how to streamline model development and deployment. But neither focus on how to build actual products that deliver value to users. This practical textbook, by contrast, details how to responsibly build products with machine learning components, covering the entire development lifecycle from requirements and design to quality assurance and operations. Machine Learning in Production brings an engineering mindset to the challenge of building systems that are usable, reliable, scalable, and safe within the context of real-world conditions of uncertainty, incomplete information, and resource constraints. Based on the author’s popular class at Carnegie Mellon, this pioneering book integrates foundational knowledge in software engineering and machine learning to provide the holistic view needed to create not only prototype models but production-ready systems. •   Integrates coverage of cutting-edge research, existing tools, and real-world applications•   Provides students and professionals with an engineering view for production-ready machine learning systems•   Proven in the classroom•   Offers supplemental resources including slides, videos, ... Unknown localization key: "more"
Objev podobné jako Machine Learning in Production - Christian Kastner
Practical Machine Learning - Ally S. Nyamawe, Salim A. Diwani, Noe E. Nnko, Mohamedi M. Mjahidi, Kulwa Malyango, Godbless G. Minja
The book provides an accessible, comprehensive introduction for beginners to machine learning, equipping them with the fundamental skills and techniques essential for this field.It enables beginners to construct practical, real-world solutions powered by machine learning across diverse application domains. It demonstrates the fundamental techniques involved in data collection, integration, cleansing, transformation, development, and deployment of machine learning models. This book emphasizes the importance of integrating responsible and explainable AI into machine learning models, ensuring these principles are prioritized rather than treated as an afterthought. To support learning, this book also offers information on accessing additional machine learning resources such as datasets, libraries, pre-trained models, and tools for tracking machine learning models.This is a core resource for students and instructors of machine learning and data science looking for beginner-friendly material which offers real-world applications and takes ethical discussions into account.
Objev podobné jako Practical Machine Learning - Ally S. Nyamawe, Salim A. Diwani, Noe E. Nnko, Mohamedi M. Mjahidi, Kulwa Malyango, Godbless G. Minja
Feature Engineering for Machine Learning - Alice Zheng
Feature engineering is a crucial step in the machine-learning pipeline, yet this topic is rarely examined on its own. With this practical book, you’ll learn techniques for extracting and transforming features—the numeric representations of raw data—into formats for machine-learning models.
Objev podobné jako Feature Engineering for Machine Learning - Alice Zheng
Probabilistic Machine Learning - Kevin P. Murphy
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