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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:
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: Zoe Sugg
Publisher: Simon and Schuster
ISBN: 1501162128
Category : Juvenile Fiction
Languages : en
Pages : 3
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Book Description
Originally published in Great Britain by Penguin Books in 2016.
Author: Zoe Sugg
Publisher: Simon and Schuster
ISBN: 1476799768
Category : Juvenile Fiction
Languages : en
Pages : 352
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Book Description
"The first novel by Zoella"--Title page.
Author: Wulfram Gerstner
Publisher: Cambridge University Press
ISBN: 1107060834
Category : Computers
Languages : en
Pages : 591
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Book Description
This solid introduction uses the principles of physics and the tools of mathematics to approach fundamental questions of neuroscience.
Author: Ian Goodfellow
Publisher: MIT Press
ISBN: 0262337371
Category : Computers
Languages : en
Pages : 801
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Book Description
An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives. “Written by three experts in the field, Deep Learning is the only comprehensive book on the subject.” —Elon Musk, cochair of OpenAI; cofounder and CEO of Tesla and SpaceX Deep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning. The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models. Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors.
Author: Rob J Hyndman
Publisher: OTexts
ISBN: 0987507117
Category : Business & Economics
Languages : en
Pages : 380
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Book Description
Forecasting is required in many situations. Stocking an inventory may require forecasts of demand months in advance. Telecommunication routing requires traffic forecasts a few minutes ahead. Whatever the circumstances or time horizons involved, forecasting is an important aid in effective and efficient planning. This textbook provides a comprehensive introduction to forecasting methods and presents enough information about each method for readers to use them sensibly.
Author: Steve Klabnik
Publisher: No Starch Press
ISBN: 1718500459
Category : Computers
Languages : en
Pages : 561
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Book Description
The official book on the Rust programming language, written by the Rust development team at the Mozilla Foundation, fully updated for Rust 2018. The Rust Programming Language is the official book on Rust: an open source systems programming language that helps you write faster, more reliable software. Rust offers control over low-level details (such as memory usage) in combination with high-level ergonomics, eliminating the hassle traditionally associated with low-level languages. The authors of The Rust Programming Language, members of the Rust Core Team, share their knowledge and experience to show you how to take full advantage of Rust's features--from installation to creating robust and scalable programs. You'll begin with basics like creating functions, choosing data types, and binding variables and then move on to more advanced concepts, such as: Ownership and borrowing, lifetimes, and traits Using Rust's memory safety guarantees to build fast, safe programs Testing, error handling, and effective refactoring Generics, smart pointers, multithreading, trait objects, and advanced pattern matching Using Cargo, Rust's built-in package manager, to build, test, and document your code and manage dependencies How best to use Rust's advanced compiler with compiler-led programming techniques You'll find plenty of code examples throughout the book, as well as three chapters dedicated to building complete projects to test your learning: a number guessing game, a Rust implementation of a command line tool, and a multithreaded server. New to this edition: An extended section on Rust macros, an expanded chapter on modules, and appendixes on Rust development tools and editions.
Author: Robert E. Kraut
Publisher: MIT Press
ISBN: 0262297396
Category : Social Science
Languages : en
Pages : 323
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Book Description
How insights from the social sciences, including social psychology and economics, can improve the design of online communities. Online communities are among the most popular destinations on the Internet, but not all online communities are equally successful. For every flourishing Facebook, there is a moribund Friendster—not to mention the scores of smaller social networking sites that never attracted enough members to be viable. This book offers lessons from theory and empirical research in the social sciences that can help improve the design of online communities. The authors draw on the literature in psychology, economics, and other social sciences, as well as their own research, translating general findings into useful design claims. They explain, for example, how to encourage information contributions based on the theory of public goods, and how to build members' commitment based on theories of interpersonal bond formation. For each design claim, they offer supporting evidence from theory, experiments, or observational studies.
Author: Rita-Marie Conrad
Publisher: John Wiley & Sons
ISBN: 1118059824
Category : Education
Languages : en
Pages : 166
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Book Description
Engaging the Online Learner This updated edition includes an innovative framework the Phases of Engagement that helps learners become more involved as knowledge generators and cofacilitators of a course. The book also provides specific ideas for tested activities (collected from experienced online instructors across the nation) that can go a long way to improving online learning. Engaging the Online Learner offers the tools and information needed to: Convert classroom activities to an online environment Assess the learning that occurs as a result of collaborative activities Phase in activities that promote engagement among online learners Build peer interaction through peer partnerships and team activities Create authentic activities and implement games and simulations Praise for Engaging the Online Learner "The Phases of Engagement framework provides a road map for creating community at each phase of an online course. This book is an invaluable guide to innovative practices for online learning." Judith V. Boettcher, coauthor of The Online Teaching Survival Guide "Engagement is the heart of online learning. The authors have developed an encyclopedia of tried-and-true learner engagement activities that are authentic and ready to use." Donald P. Ely, professor emeritus, instructional design, development and evaluation in the School of Education, Syracuse University
Author: Aamc Association of American Medical Col
Publisher: Ruveneco
ISBN: 9781577541738
Category : Study Aids
Languages : en
Pages : 394
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Book Description
The Official Guide to the MCAT(R) Exam, the only comprehensive overview about the MCAT exam, includes 120 practice questions and solutions (30 questions in each of the four sections of the MCAT exam) written by the developers of the MCAT exam at the AAMC Everything you need to know about the exam sections Tips on how to prepare for the exam Details on how the exam is scored, information on holistic admissions, and more.
