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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:
Publisher: Toni Krasnic
Published:
Total Pages: 160
ISBN-13: 0984191429
DOWNLOAD EBOOKAuthor: 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.
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Publisher: Academic Press
Published: 2010-05-25
Total Pages: 889
ISBN-13: 0080877869
DOWNLOAD EBOOKThe study of learning and memory is a central topic in neuroscience and psychology. Many of the basic research findings are directly applicable in the treatment of diseases and aging phenomena, and have found their way into educational theory and praxis. Concise Learning and Memory represents the best 30 chapters from Learning and Memory: A comprehensive reference (Academic Press March 2008), the most comprehensive source of information about learning and memory ever assembled, selected by one of the most respective scientists in the field, John H. Byrne. This concise version provides a truly authoritative collection of overview articles representing fundamental reviews of our knowledge of this central cognitive function of animal brains. It will be an affordable and accessible reference for scientists and students in all areas of neuroscience and psychology. There is no other single-volume reference with such authority and comprehensive coverage and depth currently available. - Represents an authoritative selection of the fundamental chapters from the most comprehensive source of information about learning and memory ever assembled, Learning and Memory - A comprehensive reference (Academic Press Mar 2008) - Representing outstanding scholarship, each chapter is written by a leader in the field and an expert in the topic area - All topics represent the most up to date research - Full color throughout, heavily illustrated - Priced to provide an affordable reference to individuals and workgroups
Author: 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: 423
ISBN-13: 1108837042
DOWNLOAD EBOOKA coherent introduction to core concepts and deep learning techniques that are critical to academic research and real-world applications.
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: Afsaneh Ghanizadeh
Publisher: Springer Nature
Published: 2020-09-11
Total Pages: 203
ISBN-13: 3030567117
DOWNLOAD EBOOKIn this book, we try to provide a practical, down-to-earth guide for those who are involved in language learning and teaching. We hope that this book will be a useful reading for those who would like to incorporate higher-order thinking skills (HOTS)-enhancing techniques in their teaching practice. We set out from the position that, although it is hardly doubtful that it is at the heart of education, critical thinking is in reality often not given its due attention in pedagogy, particularly in language education. This book offers readers some practical advice on how to implement HOTS in their own practice. It has been written to take the reader through each technique with the ultimate goal of promoting HOTS step-by-step. In the introductory chapter, we present an overview of the theory behind HOTS, its definition, its relation to Bloom’s Taxonomy, its two dimensions (critical thinking and reflective thinking), and the ideas of some influential thinkers in this area. The subsequent chapters present six HOTS-enhancing techniques that classroom teachers can draw from, namely graphic organizers, critical discourse analysis, argumentation, emotion regulation and emotional intelligence enhancing techniques, reflective journals, and mindfulness-based strategies. As the book draws on a wide-ranging review of literature with exercises for direct use with language learners, we hope that this provides both theoretical and practical support for the teaching process to help language learners become effective critical thinkers. The compilation of the ideas in this book took us a long time, over a decade. Something that takes such a long time requires much engagement and life experience; so did this book.
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).
