Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow 3rd Edition, ISBN-13: 978-1098125974 [PDF eBook eTextbook] Publisher: O’Reilly Media; 3rd edition (November 8, 2022) Language: English 861 pages ISBN-10: 1098125975 ISBN-13: 978-1098125974 Through a recent series of breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This bestselling…
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Content Area Reading: Literacy and Learning Across the Curriculum 13th Edition, ISBN-13: 978-0135760963 [PDF eBook eTextbook] Publisher: Pearson; 13th edition (January 30, 2020) Language: English 416 pages ISBN-10: 0135760968 ISBN-13: 978-0135760963 An evidence-based, functional approach to content literacy instruction. Content Area Reading shows pre- and in-service content area teachers how to use literacy-related instructional strategies to help students think and learn with all kinds of print and digital texts. The emphasis is on the…
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Learning Chinese Language and Culture: Intermediate Chinese Textbook Vol 1 by Weijia Huang, ISBN-13: 978-9882370609 [PDF eBook eTextbook] Publisher: The Chinese University of Hong Kong Press; Bilingual edition (September 3, 2019) Language: English 312 pages ISBN-10: 9882370608 ISBN-13: 978-9882370609 Learning Chinese Language and Culture is an intermediate-level textbook intended to be used throughout the entire school year and designed mainly for students who have completed introductory courses of Chinese as a foreign language.…
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Learning Theory and Online Technologies 2nd Edition by Linda Harasim, ISBN-13: 978-1138860001 [PDF eBook eTextbook] Publisher: Routledge; 2nd edition (May 16, 2017) Language: English 204 pages ISBN-10: 9781138860001 ISBN-13: 978-1138860001 Learning Theory and Online Technologies offers a powerful overview of the current state of online learning, the foundations of its historical roots and growth, and a framework for distinguishing between the major approaches to online learning. It addresses pedagogy (how to design an…
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Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond 1st Edition by Bernhard Scholkopf, ISBN-13: 978-0262194754 [PDF eBook eTextbook] Publisher: The MIT Press; 1st edition (December 15, 2001) Language: English 644 pages ISBN-10: 0262194759 ISBN-13: 978-0262194754 A comprehensive introduction to Support Vector Machines and related kernel methods. In the 1990s, a new type of learning algorithm was developed, based on results from statistical learning theory: the Support Vector Machine (SVM). This gave…
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Self-disciplined people are learners. They rise to the challenges of life, and leap into its uncertainties. Self-discipline requires the letting go of security to take a chance and invest time and effort on something. People like our idols are people who surrender their security at one time or another in their lives. For some, security…
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Every one of us has been in a classroom where someone we know gets great results all of the time seemingly without much effort. Maybe the amount of effort is comparable to what we are putting into our studies, yet, we are not doing as well as they are. Most of us would have chalked…
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e-Learning and the Science of Instruction 4th Edition by Ruth C. Clark, ISBN-13: 978-1119158660 [PDF eBook eTextbook] Publisher: Wiley; 4th edition (March 21, 2016) Language: English 528 pages ISBN-10: 1119158664 ISBN-13: 978-1119158660 The essential e-learning design manual, updated with the latest research, design principles, and examples. e-Learning and the Science of…
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Learning to Love Math: Teaching Strategies That Change Student Attitudes and Get Results, ISBN-13: 978-1416610366 [PDF eBook eTextbook] Publisher: ASCD; 2nd edition (July 15, 2010) Language: English 196 pages ISBN-10: 1416610367 ISBN-13: 978-1416610366 Is there a way to get students to love mathematics? Dr. Judy Willis responds with an emphatic yes…
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The Principles of Deep Learning Theory by Daniel A. Roberts, ISBN-13: 978-1316519332 [PDF eBook eTextbook] Publisher: Cambridge University Press; New edition (May 26, 2022) Language: English 472 pages ISBN-10: 1316519333 ISBN-13: 978-1316519332 This volume develops an effective theory approach to understanding deep neural networks of practical relevance. This textbook establishes a…
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Probabilistic Machine Learning: An Introduction by Kevin P. Murphy, ISBN-13: 978-0262046824 [PDF eBook eTextbook] Publisher: The MIT Press (March 1, 2022) Language: English 864 pages ISBN-10: 0262046822 ISBN-13: 978-0262046824 A detailed and up-to-date introduction to machine learning, presented through the unifying lens of probabilistic modeling and Bayesian decision theory. This book…
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Mathematics for Machine Learning 1st Edition by Marc Peter Deisenroth, ISBN-13: 978-1108455145 [PDF eBook eTextbook] Publisher: Cambridge University Press; 1st edition (April 23, 2020) Language: English 398 pages ISBN-10: 110845514X ISBN-13: 978-1108455145 Distills key concepts from linear algebra, geometry, matrices, calculus, optimization, probability and statistics that are used in machine learning.…
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