EBookClubs

Read Books & Download eBooks Full Online

EBookClubs

Read Books & Download eBooks Full Online

Book On Knowing

    Book Details:
  • Author : Jerome Seymour Bruner
  • Publisher : Harvard University Press
  • Release : 1979
  • ISBN : 9780674635258
  • Pages : 212 pages

Download or read book On Knowing written by Jerome Seymour Bruner and published by Harvard University Press. This book was released on 1979 with total page 212 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Book Leading Modern Learning

Download or read book Leading Modern Learning written by Jay McTighe and published by . This book was released on 2019 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the second edition of Leading Modern Learning, A Blueprint for Vision Driven Schools authors Jay McTighe and Greg Curtis offer the reader a fully rethought version of their blueprint for major education reform. More than a simple refresh, this new edition incorporates new insights, thinking, and experiences to refine approaches to, and tools for, implementing effective modern learning practices in a department, school, or district. With new Notes From the Field elements, McTighe and Curtis highlight key observations from their work with schools, including how to avoid potential missteps, misunderstandings, and time wasters that inhibit progress when implementing reform. .

Book Teaching in a Digital Age

Download or read book Teaching in a Digital Age written by A. W Bates and published by . This book was released on 2015 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Teaching Word Recognition  Second Edition

Download or read book Teaching Word Recognition Second Edition written by Rollanda E. O'Connor and published by Guilford Publications. This book was released on 2014-07-01 with total page 217 pages. Available in PDF, EPUB and Kindle. Book excerpt: This highly regarded teacher resource synthesizes the research base on word recognition and translates it into step-by-step instructional strategies, with special attention to students who are struggling. Chapters follow the stages through which students progress as they work toward skilled reading of words. Presented are practical, evidence-based techniques and activities that target letter- sound pairings, decoding and blending, sight words, multisyllabic words, and fluency. Ideal for use in primary-grade classrooms, the book also offers specific guidance for working with older children who are having difficulties. Reproducible assessment tools and word lists can be downloaded and printed in a convenient 8 1/2" x 11" size. New to This Edition *Incorporates the latest research on word recognition and its connections to vocabulary, reading fluency, and comprehension. *Chapter on morphological (meaning-based) instruction. *Chapter on English language learners. *Instructive "Try This" activities at the end of each chapter for teacher study groups and professional development.

Book Knowing Your Buildings

Download or read book Knowing Your Buildings written by Craig Schwinge and published by Emerald Group Publishing Limited. This book was released on 2017 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Stay focused on firefighter safety with Knowing Your Buildings, an illustrated guide to building construction terms and concepts. This book is a valuable companion for learners as well as a handy reference for practicing fire service professionals. This latest edition includes an expanded introductory section with chapters on understanding building features; risk management through planning, preparing, practicing, and performing; and hazardous building features and conditions. Additionally, the A-to-Z section has been augmented with hundreds of new terms and definitions. These terms are organized alphabetically and include photos, diagrams, drawings, and charts to clearly explain and provide visual examples of building construction materials and techniques. Safety points are also highlighted throughout the book to explain the connection between building construction materials, fire growth, and, ultimately, the safety of responding firefighters and fire officers. Features Understand the connection between building construction and firefighter safety with clear and concise definitions and explanations Stay safe on the scene with an opening chapter on building construction and risk management as well as safety notes integrated throughout the book Quickly and easily find terms and explanations, as well as photos and illustrations, with cross-references between related topics Stay informed with appendixes covering statistics, NIOSH reports, additional resources, and more

Book Systems that Learn

    Book Details:
  • Author : Sanjay Jain
  • Publisher : MIT Press
  • Release : 1999
  • ISBN : 9780262100779
  • Pages : 346 pages

Download or read book Systems that Learn written by Sanjay Jain and published by MIT Press. This book was released on 1999 with total page 346 pages. Available in PDF, EPUB and Kindle. Book excerpt: This introduction to the concepts and techniques of formal learning theory is based on a number-theoretical approach to learning and uses the tools of recursive function theory to understand how learners come to an accurate view of reality.

Book Reinforcement Learning  second edition

Download or read book Reinforcement Learning second edition written by Richard S. Sutton and published by MIT Press. This book was released on 2018-11-13 with total page 549 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Book Know Your Enemy

    Book Details:
  • Author : Honeynet Project
  • Publisher : Addison-Wesley Professional
  • Release : 2001
  • ISBN :
  • Pages : 356 pages

Download or read book Know Your Enemy written by Honeynet Project and published by Addison-Wesley Professional. This book was released on 2001 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: CD-ROM contains: Examples of network traces, code, system binaries, and logs used by intruders from the blackhat community.

Book Universal Design for Learning in the Classroom

Download or read book Universal Design for Learning in the Classroom written by Tracey E. Hall and published by Guilford Press. This book was released on 2012-07-31 with total page 177 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Clearly written and well organized, this book shows how to apply the principles of universal design for learning (UDL) across all subject areas and grade levels. The editors and contributors describe practical ways to develop classroom goals, assessments, materials, and methods that use UDL to meet the needs of all learners. Specific teaching ideas are presented for reading, writing, science, mathematics, history, and the arts, including detailed examples and troubleshooting tips. Particular attention is given to how UDL can inform effective, innovative uses of technology in the inclusive classroom. Subject Areas/Keywords: assessments, classrooms, content areas, curriculum design, digital media, educational technology, elementary, inclusion, instruction, learning disabilities, literacy, schools, secondary, special education, supports, teaching methods, UDL, universal design Audience: General and special educators in grades K-8, literacy specialists, school psychologists, administrators, teacher educators, and graduate students"--

Book Knowing People

    Book Details:
  • Author : Michael J. Lovaglia
  • Publisher : Rowman & Littlefield
  • Release : 2007
  • ISBN : 9780742547728
  • Pages : 378 pages

Download or read book Knowing People written by Michael J. Lovaglia and published by Rowman & Littlefield. This book was released on 2007 with total page 378 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Book Reflective Teaching  Effective Learning

Download or read book Reflective Teaching Effective Learning written by Char Booth and published by American Library Association. This book was released on 2011-02-22 with total page 208 pages. Available in PDF, EPUB and Kindle. Book excerpt: Char Booth, an avid library education and technology advocate, introduces a series of concepts that will empower readers at any level of experience to become better designers and presenters, as well as building their confidence and satisfaction as library educators

Book Machine Learning

Download or read book Machine Learning written by Stephen Marsland and published by CRC Press. This book was released on 2011-03-23 with total page 407 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Book Data Mining

    Book Details:
  • Author : Ian H. Witten
  • Publisher : Elsevier
  • Release : 2011-02-03
  • ISBN : 0080890369
  • Pages : 665 pages

Download or read book Data Mining written by Ian H. Witten and published by Elsevier. This book was released on 2011-02-03 with total page 665 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Book Learning SAS by Example

Download or read book Learning SAS by Example written by Ron Cody and published by SAS Institute. This book was released on 2018-07-03 with total page 536 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn to program SAS by example! Learning SAS by Example, A Programmer’s Guide, Second Edition, teaches SAS programming from very basic concepts to more advanced topics. Because most programmers prefer examples rather than reference-type syntax, this book uses short examples to explain each topic. The second edition has brought this classic book on SAS programming up to the latest SAS version, with new chapters that cover topics such as PROC SGPLOT and Perl regular expressions. This book belongs on the shelf (or e-book reader) of anyone who programs in SAS, from those with little programming experience who want to learn SAS to intermediate and even advanced SAS programmers who want to learn new techniques or identify new ways to accomplish existing tasks. In an instructive and conversational tone, author Ron Cody clearly explains each programming technique and then illustrates it with one or more real-life examples, followed by a detailed description of how the program works. The text is divided into four major sections: Getting Started, DATA Step Processing, Presenting and Summarizing Your Data, and Advanced Topics. Subjects addressed include Reading data from external sources Learning details of DATA step programming Subsetting and combining SAS data sets Understanding SAS functions and working with arrays Creating reports with PROC REPORT and PROC TABULATE Getting started with the SAS macro language Leveraging PROC SQL Generating high-quality graphics Using advanced features of user-defined formats and informats Restructuring SAS data sets Working with multiple observations per subject Getting started with Perl regular expressions You can test your knowledge and hone your skills by solving the problems at the end of each chapter.

Book Understanding the Digital World

Download or read book Understanding the Digital World written by Brian W. Kernighan and published by Princeton University Press. This book was released on 2021-03-30 with total page 301 pages. Available in PDF, EPUB and Kindle. Book excerpt: A brand-new edition of the popular introductory textbook that explores how computer hardware, software, and networks work Computers are everywhere. Some are highly visible, in laptops, tablets, cell phones, and smart watches. But most are invisible, like those in appliances, cars, medical equipment, transportation systems, power grids, and weapons. We never see the myriad computers that quietly collect, share, and sometimes leak personal data about us. Governments and companies increasingly use computers to monitor what we do. Social networks and advertisers know more about us than we should be comfortable with. Criminals have all-too-easy access to our data. Do we truly understand the power of computers in our world? In this updated edition of Understanding the Digital World, Brian Kernighan explains how computer hardware, software, and networks work. Topics include how computers are built and how they compute; what programming is; how the Internet and web operate; and how all of these affect security, privacy, property, and other important social, political, and economic issues. Kernighan touches on fundamental ideas from computer science and some of the inherent limitations of computers, and new sections in the book explore Python programming, big data, machine learning, and much more. Numerous color illustrations, notes on sources for further exploration, and a glossary explaining technical terms and buzzwords are included. Understanding the Digital World is a must-read for readers of all backgrounds who want to know more about computers and communications.

Book Encyclopedia of Distance Learning  Second Edition

Download or read book Encyclopedia of Distance Learning Second Edition written by Rogers, Patricia L. and published by IGI Global. This book was released on 2009-01-31 with total page 2612 pages. Available in PDF, EPUB and Kindle. Book excerpt: Offers comprehensive coverage of the issues, concepts, trends, and technologies of distance learning.

Book Machine Learning with TensorFlow  Second Edition

Download or read book Machine Learning with TensorFlow Second Edition written by Mattmann A. Chris and published by Manning Publications. This book was released on 2021-02-02 with total page 454 pages. Available in PDF, EPUB and Kindle. Book excerpt: Updated with new code, new projects, and new chapters, Machine Learning with TensorFlow, Second Edition gives readers a solid foundation in machine-learning concepts and the TensorFlow library. Summary Updated with new code, new projects, and new chapters, Machine Learning with TensorFlow, Second Edition gives readers a solid foundation in machine-learning concepts and the TensorFlow library. Written by NASA JPL Deputy CTO and Principal Data Scientist Chris Mattmann, all examples are accompanied by downloadable Jupyter Notebooks for a hands-on experience coding TensorFlow with Python. New and revised content expands coverage of core machine learning algorithms, and advancements in neural networks such as VGG-Face facial identification classifiers and deep speech classifiers. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Supercharge your data analysis with machine learning! ML algorithms automatically improve as they process data, so results get better over time. You don’t have to be a mathematician to use ML: Tools like Google’s TensorFlow library help with complex calculations so you can focus on getting the answers you need. About the book Machine Learning with TensorFlow, Second Edition is a fully revised guide to building machine learning models using Python and TensorFlow. You’ll apply core ML concepts to real-world challenges, such as sentiment analysis, text classification, and image recognition. Hands-on examples illustrate neural network techniques for deep speech processing, facial identification, and auto-encoding with CIFAR-10. What's inside Machine Learning with TensorFlow Choosing the best ML approaches Visualizing algorithms with TensorBoard Sharing results with collaborators Running models in Docker About the reader Requires intermediate Python skills and knowledge of general algebraic concepts like vectors and matrices. Examples use the super-stable 1.15.x branch of TensorFlow and TensorFlow 2.x. About the author Chris Mattmann is the Division Manager of the Artificial Intelligence, Analytics, and Innovation Organization at NASA Jet Propulsion Lab. The first edition of this book was written by Nishant Shukla with Kenneth Fricklas. Table of Contents PART 1 - YOUR MACHINE-LEARNING RIG 1 A machine-learning odyssey 2 TensorFlow essentials PART 2 - CORE LEARNING ALGORITHMS 3 Linear regression and beyond 4 Using regression for call-center volume prediction 5 A gentle introduction to classification 6 Sentiment classification: Large movie-review dataset 7 Automatically clustering data 8 Inferring user activity from Android accelerometer data 9 Hidden Markov models 10 Part-of-speech tagging and word-sense disambiguation PART 3 - THE NEURAL NETWORK PARADIGM 11 A peek into autoencoders 12 Applying autoencoders: The CIFAR-10 image dataset 13 Reinforcement learning 14 Convolutional neural networks 15 Building a real-world CNN: VGG-Face ad VGG-Face Lite 16 Recurrent neural networks 17 LSTMs and automatic speech recognition 18 Sequence-to-sequence models for chatbots 19 Utility landscape