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Author: Author Melissa White Publisher: Lulu.com ISBN: 1304860930 Category : Religion Languages : en Pages : 120
Book Description
When you know something you are made aware. You have to know, a book of self-awareness my first book, is a book of self-awareness and certainty. In this book, It's a knowing, walking into a level of maturity (second edition) you will learn more about God's expectations. Your walk and example in the earth will be examined. You will take a closer look at yourself. You will be confirmed more in your rights as a true child of the true and living King. You will know if you are real or not, whether you are his or not, as Jesus says ""you shall know them by their fruits,"" Matthew 7:16 KJV. In this volume, you should be more one in the Spirit with God, his Son Jesus and the Holy Ghost. You shall leave of one mind, one body, one Spirit, one hope, one Lord, one faith, one baptism, one God and one Father of all.
Author: Author Melissa White Publisher: Lulu.com ISBN: 1304860930 Category : Religion Languages : en Pages : 120
Book Description
When you know something you are made aware. You have to know, a book of self-awareness my first book, is a book of self-awareness and certainty. In this book, It's a knowing, walking into a level of maturity (second edition) you will learn more about God's expectations. Your walk and example in the earth will be examined. You will take a closer look at yourself. You will be confirmed more in your rights as a true child of the true and living King. You will know if you are real or not, whether you are his or not, as Jesus says ""you shall know them by their fruits,"" Matthew 7:16 KJV. In this volume, you should be more one in the Spirit with God, his Son Jesus and the Holy Ghost. You shall leave of one mind, one body, one Spirit, one hope, one Lord, one faith, one baptism, one God and one Father of all.
Author: Kyle Simpson Publisher: ISBN: Category : Languages : en Pages : 143
Book Description
It seems like there's never been as much widespread desire before to learn JS. But with a million blogs, books, and videos out there, just where do you start?The worldwide best selling "You Don't Know JS" book series is back for a 2nd edition: "You Don't Know JS Yet". All 6 books are brand new, rewritten to cover all sides of JS for 2020 and beyond."Get Started" prepares you for the journey ahead, first surveying the language then detailing how the rest of the You Don't Know JS Yet book series guides you to knowing JS more deeply.
Author: Ian H. Witten Publisher: Elsevier ISBN: 0080890369 Category : Computers Languages : en Pages : 665
Book Description
Data Mining: Practical Machine Learning Tools and Techniques, Third Edition, offers a thorough grounding in machine learning concepts as well as practical advice on applying machine learning tools and techniques in real-world data mining situations. This highly anticipated third edition of the most acclaimed work on data mining and machine learning will teach you everything you need to know about preparing inputs, interpreting outputs, evaluating results, and the algorithmic methods at the heart of successful data mining. Thorough updates reflect the technical changes and modernizations that have taken place in the field since the last edition, including new material on Data Transformations, Ensemble Learning, Massive Data Sets, Multi-instance Learning, plus a new version of the popular Weka machine learning software developed by the authors. Witten, Frank, and Hall include both tried-and-true techniques of today as well as methods at the leading edge of contemporary research. The book is targeted at information systems practitioners, programmers, consultants, developers, information technology managers, specification writers, data analysts, data modelers, database R&D professionals, data warehouse engineers, data mining professionals. The book will also be useful for professors and students of upper-level undergraduate and graduate-level data mining and machine learning courses who want to incorporate data mining as part of their data management knowledge base and expertise. - Provides a thorough grounding in machine learning concepts as well as practical advice on applying the tools and techniques to your data mining projects - Offers concrete tips and techniques for performance improvement that work by transforming the input or output in machine learning methods - Includes downloadable Weka software toolkit, a collection of machine learning algorithms for data mining tasks—in an updated, interactive interface. Algorithms in toolkit cover: data pre-processing, classification, regression, clustering, association rules, visualization
Author: Sebastian Raschka Publisher: Packt Publishing Ltd ISBN: 1783555149 Category : Computers Languages : en Pages : 455
Book Description
Unlock deeper insights into Machine Leaning with this vital guide to cutting-edge predictive analytics About This Book Leverage Python's most powerful open-source libraries for deep learning, data wrangling, and data visualization Learn effective strategies and best practices to improve and optimize machine learning systems and algorithms Ask – and answer – tough questions of your data with robust statistical models, built for a range of datasets Who This Book Is For If you want to find out how to use Python to start answering critical questions of your data, pick up Python Machine Learning – whether you want to get started from scratch or want to extend your data science knowledge, this is an essential and unmissable resource. What You Will Learn Explore how to use different machine learning models to ask different questions of your data Learn how to build neural networks using Keras and Theano Find out how to write clean and elegant Python code that will optimize the strength of your algorithms Discover how to embed your machine learning model in a web application for increased accessibility Predict continuous target outcomes using regression analysis Uncover hidden patterns and structures in data with clustering Organize data using effective pre-processing techniques Get to grips with sentiment analysis to delve deeper into textual and social media data In Detail Machine learning and predictive analytics are transforming the way businesses and other organizations operate. Being able to understand trends and patterns in complex data is critical to success, becoming one of the key strategies for unlocking growth in a challenging contemporary marketplace. Python can help you deliver key insights into your data – its unique capabilities as a language let you build sophisticated algorithms and statistical models that can reveal new perspectives and answer key questions that are vital for success. Python Machine Learning gives you access to the world of predictive analytics and demonstrates why Python is one of the world's leading data science languages. If you want to ask better questions of data, or need to improve and extend the capabilities of your machine learning systems, this practical data science book is invaluable. Covering a wide range of powerful Python libraries, including scikit-learn, Theano, and Keras, and featuring guidance and tips on everything from sentiment analysis to neural networks, you'll soon be able to answer some of the most important questions facing you and your organization. Style and approach Python Machine Learning connects the fundamental theoretical principles behind machine learning to their practical application in a way that focuses you on asking and answering the right questions. It walks you through the key elements of Python and its powerful machine learning libraries, while demonstrating how to get to grips with a range of statistical models.
Author: Stephen Marsland Publisher: CRC Press ISBN: 1420067192 Category : Business & Economics Languages : en Pages : 407
Book Description
Traditional books on machine learning can be divided into two groups- those aimed at advanced undergraduates or early postgraduates with reasonable mathematical knowledge and those that are primers on how to code algorithms. The field is ready for a text that not only demonstrates how to use the algorithms that make up machine learning methods, but
Author: Richard S. Sutton Publisher: MIT Press ISBN: 0262352702 Category : Computers Languages : en Pages : 549
Book Description
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.
Author: Jerome Seymour Bruner Publisher: Harvard University Press ISBN: 9780674635258 Category : Education Languages : en Pages : 212
Book Description
The left hand has traditionally represented the powers of intuition, feeling, and spontaneity. In this classic book, Jerome Bruner inquires into the part these qualities play in determining how we know what we do know; how we can help others to know--that is, to teach; and how our conception of reality affects our actions and is modified by them. The striking and subtle discussions contained in On Knowing take on the core issues concerning man's sense of self: creativity, the search for identity, the nature of aesthetic knowledge, myth, the learning process, and modern-day attitudes toward social controls, Freud, and fate. In this revised, expanded edition, Bruner comments on his personal efforts to maintain an intuitively and rationally balanced understanding of human nature, taking into account the odd historical circumstances which have hindered academic psychology's attempts in the past to know man. Writing with wit, imagination, and deep sympathy for the human condition, Jerome Bruner speaks here to the part of man's mind that can never be completely satisfied by the right-handed virtues of order, rationality, and discipline.
Author: Michael J. Lovaglia Publisher: Rowman & Littlefield ISBN: 9780742547728 Category : Psychology Languages : en Pages : 378
Book Description
Social psychology studies one of civilization's most central concerns: human relationships. By understanding people's beliefs, attitudes, and desires, individuals can fashion relationships that benefit all involved, rather than one person or group at the expense of another. Written with a friendly style and engaging, accessible language, the second edition of the popular textbook Knowing People selects some of the best research in social psychology and shows how it can improve people's lives. This revised and updated edition includes clear descriptions of the latest research and adds a new chapter on leadership and emotion. Not only does Knowing People appeal to individual readers interested in improving their relationships, but it is also valuable as a supplemental text in a wide variety of social science, business, and professional courses_in all areas where successful interaction with other people is important.
Author: Andrew Bailey Publisher: Broadview Press ISBN: 1554811813 Category : Philosophy Languages : en Pages : 558
Book Description
First Philosophy: Knowing and Being brings together over thirty classic and contemporary readings in epistemology and metaphysics. Mindful of the intrinsic difficulty of the material, the editors provide comprehensive introductions both to each topic and to each individual selection. By presenting a detailed discussion of the historical and intellectual background to each piece, the editors enable readers to approach the material without unnecessary barriers to understanding. A brief introduction to arguments is included, as are appendices on terminology and philosophical puzzles and paradoxes.
Author: Richard S. Sutton Publisher: MIT Press ISBN: 0262039249 Category : Computers Languages : en Pages : 549
Book Description
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.
Author: Author Melissa White
Author: Author Melissa White
Author: Kyle Simpson
Author: Ian H. Witten
Author: Sebastian Raschka
Author: Stephen Marsland
Author: Richard S. Sutton
Author: Jerome Seymour Bruner
Author: Michael J. Lovaglia
Author: Andrew Bailey
Author: Richard S. Sutton