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Author: Toni Krasnic
Publisher: Concise Books Publishing
Published: 2010
Total Pages: 0
ISBN-13: 9780984191406
DOWNLOAD EBOOKExplains effective and efficient study methods for students to improve exam and academic performance, describing the author's "Concise Learning Method" (CLM), and featuring thirteen two-page visual maps of essential skills
Author: A.C. Faul
Publisher: CRC Press
Published: 2019-08-01
Total Pages: 335
ISBN-13: 1351204742
DOWNLOAD EBOOKThe emphasis of the book is on the question of Why – only if why an algorithm is successful is understood, can it be properly applied, and the results trusted. Algorithms are often taught side by side without showing the similarities and differences between them. This book addresses the commonalities, and aims to give a thorough and in-depth treatment and develop intuition, while remaining concise. This useful reference should be an essential on the bookshelves of anyone employing machine learning techniques. The author's webpage for the book can be accessed here.
Author: Steven W. Knox
Publisher: John Wiley & Sons
Published: 2018-04-17
Total Pages: 357
ISBN-13: 1119439191
DOWNLOAD EBOOKAN INTRODUCTION TO MACHINE LEARNING THAT INCLUDES THE FUNDAMENTAL TECHNIQUES, METHODS, AND APPLICATIONS PROSE Award Finalist 2019 Association of American Publishers Award for Professional and Scholarly Excellence Machine Learning: a Concise Introduction offers a comprehensive introduction to the core concepts, approaches, and applications of machine learning. The author—an expert in the field—presents fundamental ideas, terminology, and techniques for solving applied problems in classification, regression, clustering, density estimation, and dimension reduction. The design principles behind the techniques are emphasized, including the bias-variance trade-off and its influence on the design of ensemble methods. Understanding these principles leads to more flexible and successful applications. Machine Learning: a Concise Introduction also includes methods for optimization, risk estimation, and model selection— essential elements of most applied projects. This important resource: Illustrates many classification methods with a single, running example, highlighting similarities and differences between methods Presents R source code which shows how to apply and interpret many of the techniques covered Includes many thoughtful exercises as an integral part of the text, with an appendix of selected solutions Contains useful information for effectively communicating with clients A volume in the popular Wiley Series in Probability and Statistics, Machine Learning: a Concise Introduction offers the practical information needed for an understanding of the methods and application of machine learning. STEVEN W. KNOX holds a Ph.D. in Mathematics from the University of Illinois and an M.S. in Statistics from Carnegie Mellon University. He has over twenty years’ experience in using Machine Learning, Statistics, and Mathematics to solve real-world problems. He currently serves as Technical Director of Mathematics Research and Senior Advocate for Data Science at the National Security Agency.
Author:
Publisher: Toni Krasnic
Published:
Total Pages: 160
ISBN-13: 0984191429
DOWNLOAD EBOOKAuthor: Diane Cummings Persellin
Publisher: Taylor & Francis
Published: 2023-07-03
Total Pages: 108
ISBN-13: 1000976882
DOWNLOAD EBOOKThis concise guidebook on desirable difficulties is designed to be a resource for academics who are interested in engaging students according to the findings of peer-reviewed literature and best practices but do not have the time to immerse themselves in the scholarship of teaching and learning.Intentionally brief, the book is intended to: summarize recent research on five aspects of desirable difficulties; provide applications to the college classroom based on this research; include special sections about teaching strategies that are based on best practices; and offer annotated bibliographies and important citations for faculty who want to pursue additional study. The book will provide a foundation for instructors to teach using evidence-based strategies that will strengthen learning and retention in their classrooms.In addition to chapters on the desirable difficulties, the book also includes chapters on teaching first-year and at-risk students to embrace this approach, on negotiating student resistance, and on using this approach in teaching online.
Author: Hui Jiang
Publisher: Cambridge University Press
Published: 2021-11-25
Total Pages: 424
ISBN-13: 1108945538
DOWNLOAD EBOOKThis lucid, accessible introduction to supervised machine learning presents core concepts in a focused and logical way that is easy for beginners to follow. The author assumes basic calculus, linear algebra, probability and statistics but no prior exposure to machine learning. Coverage includes widely used traditional methods such as SVMs, boosted trees, HMMs, and LDAs, plus popular deep learning methods such as convolution neural nets, attention, transformers, and GANs. Organized in a coherent presentation framework that emphasizes the big picture, the text introduces each method clearly and concisely “from scratch” based on the fundamentals. All methods and algorithms are described by a clean and consistent style, with a minimum of unnecessary detail. Numerous case studies and concrete examples demonstrate how the methods can be applied in a variety of contexts.
Author: Diane Cummings Persellin
Publisher: Taylor & Francis
Published: 2023-07-03
Total Pages: 125
ISBN-13: 1000976750
DOWNLOAD EBOOKThis concise guidebook is intended for faculty who are interested in engaging their students and developing deep and lasting learning, but do not have the time to immerse themselves in the scholarship of teaching and learning. Acknowledging the growing body of peer-reviewed literature on practices that can dramatically impact teaching, this intentionally brief book:* Summarizes recent research on six of the most compelling principles in learning and teaching* Describes their application to the college classroom* Presents teaching strategies that are based on pragmatic practices* Provides annotated bibliographies and important citations for faculty who want to explore these topics further This guidebook begins with an overview of how we learn, covering such topics such as the distinction between expert and novice learners, memory, prior learning, and metacognition. The body of the book is divided into three main sections each of which includes teaching principles, applications, and related strategies – most of which can be implemented without extensive preparation.The applications sections present examples of practice across a diverse range of disciplines including the sciences, humanities, arts, and pre-professional programs. This book provides a foundation for the reader explore these approaches and methods in his or her teaching.
Author: Richard DuFour
Publisher: Solution Tree Press
Published: 2013-06-15
Total Pages: 318
ISBN-13: 1935249894
DOWNLOAD EBOOKLike the first edition, the second edition of Learning by Doing: A Handbook for Professional Learning Communities at Work helps educators close the knowing-doing gap as they transform their schools into professional learning communities (PLCs).
Author: Therese Ferguson
Publisher: Emerald Group Publishing
Published: 2018-11-13
Total Pages: 138
ISBN-13: 1787694259
DOWNLOAD EBOOKSDG4 - Quality Education: Inclusivity, Equity and Lifelong Learning For All will explore the multifaceted and complex nature of the concepts of inclusivity and quality education.
Author: Linda Elder
Publisher: Rowman & Littlefield
Published: 2020-03-15
Total Pages: 371
ISBN-13: 1538139510
DOWNLOAD EBOOKThis introduction to critical thinking focuses on an integrated, universal concept of critical thinking that is both substantive and practical. It provides students with the basic intellectual skills they need to think through content in any class, subject, or discipline, and through any problems or issues they face. Now available from Rowman & Littlefield, Richard Paul and Linda Elder's Critical Thinking: Learn the Tools the Best Thinkers Use focuses on the most basic critical thinking concepts. It includes activities that allow readers to apply these concepts within disciplines and to life. An added feature to this brief book is a focus on close reading and substantive writing. Content highlights include: Think for Yourself activities Discovering the parts of thinking and the standards for thinking Learning to formulate clear and substantive questions Making the design of a course work for you Close reading and substantive writing Becoming a fairminded thinker
