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Author:
Publisher:
ISBN: 9780382334504
Category : Science
Languages : en
Pages : 124
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Book Description
Author:
Publisher:
ISBN: 9780382334504
Category : Science
Languages : en
Pages : 124
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Book Description
Author: Joseph K. Blitzstein
Publisher: CRC Press
ISBN: 1466575573
Category : Mathematics
Languages : en
Pages : 599
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Book Description
Developed from celebrated Harvard statistics lectures, Introduction to Probability provides essential language and tools for understanding statistics, randomness, and uncertainty. The book explores a wide variety of applications and examples, ranging from coincidences and paradoxes to Google PageRank and Markov chain Monte Carlo (MCMC). Additional application areas explored include genetics, medicine, computer science, and information theory. The print book version includes a code that provides free access to an eBook version. The authors present the material in an accessible style and motivate concepts using real-world examples. Throughout, they use stories to uncover connections between the fundamental distributions in statistics and conditioning to reduce complicated problems to manageable pieces. The book includes many intuitive explanations, diagrams, and practice problems. Each chapter ends with a section showing how to perform relevant simulations and calculations in R, a free statistical software environment.
Author:
Publisher: Houghton Mifflin
ISBN: 9780618002696
Category : Juvenile Nonfiction
Languages : en
Pages : 180
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Book Description
Author: Sbg
Publisher:
ISBN: 9780618010561
Category : Juvenile Nonfiction
Languages : en
Pages :
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Book Description
Author: Bowker Editorial Staff
Publisher:
ISBN: 9780835243155
Category : Computers
Languages : en
Pages : 1716
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Book Description
Author: Akihiro Yamamoto
Publisher: Springer
ISBN: 3319677861
Category : Computers
Languages : en
Pages : 355
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Book Description
This book constitutes the proceedings of the 20th International Conference on Discovery Science, DS 2017, held in Kyoto, Japan, in October 2017, co-located with the International Conference on Algorithmic Learning Theory, ALT 2017. The 18 revised full papers presented together with 6 short papers and 2 invited talks in this volume were carefully reviewed and selected from 42 submissions. The scope of the conference includes the development and analysis of methods for discovering scientific knowledge, coming from machine learning, data mining, intelligent data analysis, big data analysis as well as their application in various scientific domains. The papers are organized in topical sections on machine learning: online learning, regression, label classification, deep learning, feature selection, recommendation system; and knowledge discovery: recommendation system, community detection, pattern mining, misc.
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Publisher:
ISBN:
Category : Encyclopedias and dictionaries
Languages : en
Pages : 554
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Book Description
An encyclopedia designed especially to meet the needs of elementary, junior high, and senior high school students.
Author: Susan A. Ambrose
Publisher: John Wiley & Sons
ISBN: 0470617608
Category : Education
Languages : en
Pages : 336
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Book Description
Praise for How Learning Works "How Learning Works is the perfect title for this excellent book. Drawing upon new research in psychology, education, and cognitive science, the authors have demystified a complex topic into clear explanations of seven powerful learning principles. Full of great ideas and practical suggestions, all based on solid research evidence, this book is essential reading for instructors at all levels who wish to improve their students' learning." —Barbara Gross Davis, assistant vice chancellor for educational development, University of California, Berkeley, and author, Tools for Teaching "This book is a must-read for every instructor, new or experienced. Although I have been teaching for almost thirty years, as I read this book I found myself resonating with many of its ideas, and I discovered new ways of thinking about teaching." —Eugenia T. Paulus, professor of chemistry, North Hennepin Community College, and 2008 U.S. Community Colleges Professor of the Year from The Carnegie Foundation for the Advancement of Teaching and the Council for Advancement and Support of Education "Thank you Carnegie Mellon for making accessible what has previously been inaccessible to those of us who are not learning scientists. Your focus on the essence of learning combined with concrete examples of the daily challenges of teaching and clear tactical strategies for faculty to consider is a welcome work. I will recommend this book to all my colleagues." —Catherine M. Casserly, senior partner, The Carnegie Foundation for the Advancement of Teaching "As you read about each of the seven basic learning principles in this book, you will find advice that is grounded in learning theory, based on research evidence, relevant to college teaching, and easy to understand. The authors have extensive knowledge and experience in applying the science of learning to college teaching, and they graciously share it with you in this organized and readable book." —From the Foreword by Richard E. Mayer, professor of psychology, University of California, Santa Barbara; coauthor, e-Learning and the Science of Instruction; and author, Multimedia Learning
Author:
Publisher:
ISBN: 9780835246804
Category : Education
Languages : en
Pages :
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Book Description
Author: Sandra Luna McCune
Publisher: Houghton Mifflin Harcourt
ISBN: 0544230582
Category : Education
Languages : en
Pages : 339
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Book Description
This 3rd Edition of CliffsNotes FTCE Professional Education Test encapsulates the major test changes to this important Florida teacher certification test that would-be Florida teachers must pass to become credentialed.
