The Master Adaptive Learner

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The Master Adaptive Learner

Author : William Cutrer
Publisher : Elsevier Health Sciences
ISBN 13 : 032371112X
Total Pages : 242 pages
Book Rating : 4.3/5 (237 download)

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Book Synopsis The Master Adaptive Learner by : William Cutrer

Download or read book The Master Adaptive Learner written by William Cutrer and published by Elsevier Health Sciences. This book was released on 2019-09-29 with total page 242 pages. Available in PDF, EPUB and Kindle. Book excerpt: Tomorrow’s best physicians will be those who continually learn, adjust, and innovate as new information and best practices evolve, reflecting adaptive expertise in response to practice challenges. As the first volume in the American Medical Association’s MedEd Innovation Series, The Master Adaptive Learner is an instructor-focused guide covering models for how to train and teach future clinicians who need to develop these adaptive skills and utilize them throughout their careers. Explains and clarifies the concept of a Master Adaptive Learner: a metacognitive approach to learning based on self-regulation that fosters the success and use of adaptive expertise in practice. Contains both theoretical and practical material for instructors and administrators, including guidance on how to implement a Master Adaptive Learner approach in today’s institutions. Gives instructors the tools needed to empower students to become efficient and successful adaptive learners. Helps medical faculty and instructors address gaps in physician training and prepare new doctors to practice effectively in 21st century healthcare systems. One of the American Medical Association Change MedEd initiatives and innovations, written and edited by members of the ACE (Accelerating Change in Medical Education) Consortium – a unique, innovative collaborative that allows for the sharing and dissemination of groundbreaking ideas and projects.

Value-Added Roles for Medical Students, E-Book

Author : Jed D. Gonzalo
Publisher : Elsevier Health Sciences
ISBN 13 : 0323759513
Total Pages : 172 pages
Book Rating : 4.3/5 (237 download)

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Book Synopsis Value-Added Roles for Medical Students, E-Book by : Jed D. Gonzalo

Download or read book Value-Added Roles for Medical Students, E-Book written by Jed D. Gonzalo and published by Elsevier Health Sciences. This book was released on 2021-07-29 with total page 172 pages. Available in PDF, EPUB and Kindle. Book excerpt: Providing real-life clinical experiences and context to medical students is an essential part of today’s medical education, and the partnerships between medical schools and health systems are an integral part of this approach. Value-Added Roles for Medical Students, the second volume in the American Medical Association’s MedEd Innovation Series, is a first-of-its-kind, instructor-focused field book that inspires educators to transform the relationship between medical schools and health systems with authentic workplace roles for medical students, adding relevance to medical education and patient care.. Gives instructors the tools needed to create roles for medical students in the health system that benefit the student’s growth, empathy, and understanding of patient needs; develop a working knowledge of the health system itself; and provide true value to both the health system and patient experience. Contains both theoretical and practical material for instructors and administrators, including guidance on how to implement value-added roles for medical students in today’s institutions. Explains how to apply a framework to implement value-added clinical systems learning roles for students, develop meaningful medical school-health system partnerships, and train a generation of future physicians prepared to lead health systems change. Provides numerous examples from schools with successful implementation of value-added medical student roles such as patient navigators, community-based health care programs involving medical students, and more. Describes real-world strategies for building mutually beneficial medical school-health system partnerships, including developing a shared vision and strategy and identifying learning goals and objectives; empowering broad-based action and overcoming barriers in implementation; and generating short-term wins in implementation. Helps medical school faculty and instructors address gaps in physician training and prepare new doctors to practice effectively in 21st century health care systems. One of the American Medical Association Change MedEd initiatives and innovations, written and edited by members of the Accelerating Change in Medical Education Consortium – a unique, innovative collaborative that allows for the sharing and dissemination of groundbreaking ideas and projects.

Adaptive Behavior and Learning

Author : J. E. R. Staddon
Publisher : Cambridge University Press
ISBN 13 : 1107082471
Total Pages : 619 pages
Book Rating : 4.1/5 (7 download)

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Book Synopsis Adaptive Behavior and Learning by : J. E. R. Staddon

Download or read book Adaptive Behavior and Learning written by J. E. R. Staddon and published by Cambridge University Press. This book was released on 2016-03-10 with total page 619 pages. Available in PDF, EPUB and Kindle. Book excerpt: Summarizes the current state of both theoretical and experimental knowledge about learning in animals.

Innovative Trends in Flipped Teaching and Adaptive Learning

Author : Sein-Echaluce, María Luisa
Publisher : IGI Global
ISBN 13 : 152258143X
Total Pages : 306 pages
Book Rating : 4.5/5 (225 download)

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Book Synopsis Innovative Trends in Flipped Teaching and Adaptive Learning by : Sein-Echaluce, María Luisa

Download or read book Innovative Trends in Flipped Teaching and Adaptive Learning written by Sein-Echaluce, María Luisa and published by IGI Global. This book was released on 2019-05-15 with total page 306 pages. Available in PDF, EPUB and Kindle. Book excerpt: Understanding new educational innovations is essential for the improvement of the training and learning process. In order to effectively implement these new tools in the classroom, teachers and trainers need access to real-life cases in which these methods were successfully used. Innovative Trends in Flipped Teaching and Adaptive Learning is a critical scholarly resource that examines current advances in educational innovation and presents cases that allow for the improvement of personalized and active learning. Featuring a wide range of topics such as higher education, teacher education, and learning strategies, this book is ideal for educators, instructional designers, academicians, researchers, and students.

Understanding Medical Education

Author : Tim Swanwick
Publisher : John Wiley & Sons
ISBN 13 : 1119373824
Total Pages : 43 pages
Book Rating : 4.1/5 (193 download)

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Book Synopsis Understanding Medical Education by : Tim Swanwick

Download or read book Understanding Medical Education written by Tim Swanwick and published by John Wiley & Sons. This book was released on 2019-01-04 with total page 43 pages. Available in PDF, EPUB and Kindle. Book excerpt: Created in partnership with the Association for the Study of Medical Education (ASME), this completely revised and updated new edition of Understanding Medical Education synthesizes the latest knowledge, evidence and best practice across the continuum of medical education. Written and edited by an international team, this latest edition continues to cover a wide range of subject matter within five broad areas – Foundations, Teaching and Learning, Assessment and Selection, Research and Evaluation, and Faculty and Learners – as well as featuring a wealth of new material, including new chapters on the science of learning, knowledge synthesis, and learner support and well-being. The third edition of Understanding Medical Education: Provides a comprehensive and authoritative resource summarizing the theoretical and academic bases to modern medical education practice Meets the needs of all newcomers to medical education whether undergraduate or postgraduate, including those studying at certificate, diploma or masters level Offers a global perspective on medical education from leading experts from across the world Providing practical guidance and exploring medical education in all its diversity, Understanding Medical Education continues to be an essential resource for both established educators and all those new to the field.

Machine Learning and Medical Imaging

Author : Guorong Wu
Publisher : Academic Press
ISBN 13 : 0128041145
Total Pages : 512 pages
Book Rating : 4.1/5 (28 download)

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Book Synopsis Machine Learning and Medical Imaging by : Guorong Wu

Download or read book Machine Learning and Medical Imaging written by Guorong Wu and published by Academic Press. This book was released on 2016-08-11 with total page 512 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine Learning and Medical Imaging presents state-of- the-art machine learning methods in medical image analysis. It first summarizes cutting-edge machine learning algorithms in medical imaging, including not only classical probabilistic modeling and learning methods, but also recent breakthroughs in deep learning, sparse representation/coding, and big data hashing. In the second part leading research groups around the world present a wide spectrum of machine learning methods with application to different medical imaging modalities, clinical domains, and organs. The biomedical imaging modalities include ultrasound, magnetic resonance imaging (MRI), computed tomography (CT), histology, and microscopy images. The targeted organs span the lung, liver, brain, and prostate, while there is also a treatment of examining genetic associations. Machine Learning and Medical Imaging is an ideal reference for medical imaging researchers, industry scientists and engineers, advanced undergraduate and graduate students, and clinicians. Demonstrates the application of cutting-edge machine learning techniques to medical imaging problems Covers an array of medical imaging applications including computer assisted diagnosis, image guided radiation therapy, landmark detection, imaging genomics, and brain connectomics Features self-contained chapters with a thorough literature review Assesses the development of future machine learning techniques and the further application of existing techniques

Innovative Learning Environments in STEM Higher Education

Author : Jungwoo Ryoo
Publisher : Springer Nature
ISBN 13 : 303058948X
Total Pages : 148 pages
Book Rating : 4.0/5 (35 download)

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Book Synopsis Innovative Learning Environments in STEM Higher Education by : Jungwoo Ryoo

Download or read book Innovative Learning Environments in STEM Higher Education written by Jungwoo Ryoo and published by Springer Nature. This book was released on 2021-03-11 with total page 148 pages. Available in PDF, EPUB and Kindle. Book excerpt: As explored in this open access book, higher education in STEM fields is influenced by many factors, including education research, government and school policies, financial considerations, technology limitations, and acceptance of innovations by faculty and students. In 2018, Drs. Ryoo and Winkelmann explored the opportunities, challenges, and future research initiatives of innovative learning environments (ILEs) in higher education STEM disciplines in their pioneering project: eXploring the Future of Innovative Learning Environments (X-FILEs). Workshop participants evaluated four main ILE categories: personalized and adaptive learning, multimodal learning formats, cross/extended reality (XR), and artificial intelligence (AI) and machine learning (ML). This open access book gathers the perspectives expressed during the X-FILEs workshop and its follow-up activities. It is designed to help inform education policy makers, researchers, developers, and practitioners about the adoption and implementation of ILEs in higher education.

Personalization and Collaboration in Adaptive E-Learning

Author : Tadlaoui, Mouenis Anouar
Publisher : IGI Global
ISBN 13 : 1799814947
Total Pages : 348 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Personalization and Collaboration in Adaptive E-Learning by : Tadlaoui, Mouenis Anouar

Download or read book Personalization and Collaboration in Adaptive E-Learning written by Tadlaoui, Mouenis Anouar and published by IGI Global. This book was released on 2019-12-13 with total page 348 pages. Available in PDF, EPUB and Kindle. Book excerpt: As part of e-learning, adaptive systems are more specialized and focus on the adaptation of learning content and presentation of this content. An adaptive system focuses on how knowledge is learned and pays attention to the activities, cognitive structures, and context of the learning material. The adaptive term refers to the automatic adaptation of the system to the learner. The needs of the learner are borne by the system itself. The learner did not ask to change the parameters of the system to his own needs; it is rather the needs of the learner that will be supposed by the system. The system adapts according to this necessity. Personalization and Collaboration in Adaptive E-Learning is an essential reference book that aims to describe the specific steps in designing a scenario for a collaborative learning activity in the particular context of personalization in adaptive systems and the key decisions that need to be made by the teacher-learner. By applying theoretical and practical aspects of personalization in adaptive systems and applications within education, this collection features coverage on a broad range of topics that include adaptive teaching, personalized learning, and instructional design. This book is ideally designed for instructional designers, curriculum developers, educational software developers, IT specialists, educational administrators, professionals, professors, researchers, and students seeking current research on comparative studies and the pedagogical issues of personalized and collaborative learning.

Learner-Centered Teaching

Author : Maryellen Weimer
Publisher : John Wiley & Sons
ISBN 13 : 0470366419
Total Pages : 288 pages
Book Rating : 4.4/5 (73 download)

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Book Synopsis Learner-Centered Teaching by : Maryellen Weimer

Download or read book Learner-Centered Teaching written by Maryellen Weimer and published by John Wiley & Sons. This book was released on 2008-05-02 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this much needed resource, Maryellen Weimer-one of the nation's most highly regarded authorities on effective college teaching-offers a comprehensive work on the topic of learner-centered teaching in the college and university classroom. As the author explains, learner-centered teaching focuses attention on what the student is learning, how the student is learning, the conditions under which the student is learning, whether the student is retaining and applying the learning, and how current learning positions the student for future learning. To help educators accomplish the goals of learner-centered teaching, this important book presents the meaning, practice, and ramifications of the learner-centered approach, and how this approach transforms the college classroom environment. Learner-Centered Teaching shows how to tie teaching and curriculum to the process and objectives of learning rather than to the content delivery alone.

Learning for Adaptive and Reactive Robot Control

Author : Aude Billard
Publisher : MIT Press
ISBN 13 : 0262367017
Total Pages : 425 pages
Book Rating : 4.2/5 (623 download)

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Book Synopsis Learning for Adaptive and Reactive Robot Control by : Aude Billard

Download or read book Learning for Adaptive and Reactive Robot Control written by Aude Billard and published by MIT Press. This book was released on 2022-02-08 with total page 425 pages. Available in PDF, EPUB and Kindle. Book excerpt: Methods by which robots can learn control laws that enable real-time reactivity using dynamical systems; with applications and exercises. This book presents a wealth of machine learning techniques to make the control of robots more flexible and safe when interacting with humans. It introduces a set of control laws that enable reactivity using dynamical systems, a widely used method for solving motion-planning problems in robotics. These control approaches can replan in milliseconds to adapt to new environmental constraints and offer safe and compliant control of forces in contact. The techniques offer theoretical advantages, including convergence to a goal, non-penetration of obstacles, and passivity. The coverage of learning begins with low-level control parameters and progresses to higher-level competencies composed of combinations of skills. Learning for Adaptive and Reactive Robot Control is designed for graduate-level courses in robotics, with chapters that proceed from fundamentals to more advanced content. Techniques covered include learning from demonstration, optimization, and reinforcement learning, and using dynamical systems in learning control laws, trajectory planning, and methods for compliant and force control . Features for teaching in each chapter: applications, which range from arm manipulators to whole-body control of humanoid robots; pencil-and-paper and programming exercises; lecture videos, slides, and MATLAB code examples available on the author’s website . an eTextbook platform website offering protected material[EPS2] for instructors including solutions.

Essential Skills for a Medical Teacher

Author : Ronald M. Harden
Publisher : Elsevier Health Sciences
ISBN 13 : 0702078557
Total Pages : 338 pages
Book Rating : 4.7/5 (2 download)

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Book Synopsis Essential Skills for a Medical Teacher by : Ronald M. Harden

Download or read book Essential Skills for a Medical Teacher written by Ronald M. Harden and published by Elsevier Health Sciences. This book was released on 2020-06-11 with total page 338 pages. Available in PDF, EPUB and Kindle. Book excerpt: Perfect for new teachers in undergraduate, postgraduate, or continuing education, as well as more experienced educators who want to assess, improve, and gain new perspectives on teaching and learning, Essential Skills for a Medical Teacher is a useful, easy-to-read professional resource. This book offers a concise introduction to the field of medical education, with key coverage of educational models and theory that can help inform teaching practice. Clear illustrations and practical tips throughout make it an excellent starting point for those new to the field of medical education or who want to facilitate more effective learning for their students or trainees. Provides hints drawn from practical experience that help you create powerful learning opportunities for your students, with readable guidelines and new techniques that can be adopted for use in any teaching program. Includes new coverage of "just-in-time" learning, entrustable professional activities, steps on introducing outcome/competency-based education, selecting a teaching method, programmatic assessment, self-assessment, the student and patient as partners in the education process, the changing role of the teacher, bringing about change, and the future of medical education. Covers recent developments in our understanding of the relationship between learning and technology, as well as curriculum planning and curriculum mapping. Offers practical advice from leading international expert Professor Ronald Harden and co-author Jennifer Laidlaw, who has designed and taught many courses for medical teachers. Prompts you to reflect on your own performance as an educator, as well as analyze with colleagues the different ways that your work can be approached and how your students’ or trainees’ learning can be made more effective.

Deep Learning

Author : Ian Goodfellow
Publisher : MIT Press
ISBN 13 : 0262337371
Total Pages : 801 pages
Book Rating : 4.2/5 (623 download)

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Book Synopsis Deep Learning by : Ian Goodfellow

Download or read book Deep Learning written by Ian Goodfellow and published by MIT Press. This book was released on 2016-11-10 with total page 801 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

The Question of Competence

Author : Brian D. Hodges
Publisher : Cornell University Press
ISBN 13 : 0801465362
Total Pages : 239 pages
Book Rating : 4.8/5 (14 download)

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Book Synopsis The Question of Competence by : Brian D. Hodges

Download or read book The Question of Competence written by Brian D. Hodges and published by Cornell University Press. This book was released on 2012-10-11 with total page 239 pages. Available in PDF, EPUB and Kindle. Book excerpt: Medical competence is a hot topic surrounded by much controversy about how to define competency, how to teach it, and how to measure it. While some debate the pros and cons of competence-based medical education and others explain how to achieve various competencies, the authors of the seven chapters in The Question of Competence offer something very different. They critique the very notion of competence itself and attend to how it has shaped what we pay attention to—and what we ignore—in the education and assessment of medical trainees. Two leading figures in the field of medical education, Brian D. Hodges and Lorelei Lingard, drew together colleagues from the United States, Canada, and the Netherlands to explore competency from different perspectives, in order to spark thoughtful discussion and debate on the subject. The critical analyses included in the book’s chapters cover the role of emotion, the implications of teamwork, interprofessional frameworks, the construction of expertise, new directions for assessment, models of self-regulation, and the concept of mindful practice. The authors juxtapose the idea of competence with other highly valued ideas in medical education such as emotion, cognition and teamwork, drawing new insights about their intersections and implications for one another.

Leaders of Their Own Learning

Author : Ron Berger
Publisher : John Wiley & Sons
ISBN 13 : 1118655443
Total Pages : 404 pages
Book Rating : 4.1/5 (186 download)

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Book Synopsis Leaders of Their Own Learning by : Ron Berger

Download or read book Leaders of Their Own Learning written by Ron Berger and published by John Wiley & Sons. This book was released on 2014-01-07 with total page 404 pages. Available in PDF, EPUB and Kindle. Book excerpt: From EL Education comes a proven approach to student assessment Leaders of Their Own Learning offers a new way of thinking about assessment based on the celebrated work of EL Education schools across the country. Student-Engaged Assessment is not a single practice but an approach to teaching and learning that equips and compels students to understand goals for their learning and growth, track their progress toward those goals, and take responsibility for reaching them. This requires a set of interrelated strategies and structures and a whole-school culture in which students are given the respect and responsibility to be meaningfully engaged in their own learning. Includes everything teachers and school leaders need to implement a successful Student-Engaged Assessment system in their schools Outlines the practices that will engage students in making academic progress, improve achievement, and involve families and communities in the life of the school Describes each of the book's eight key practices, gives advice on how to begin, and explains what teachers and school leaders need to put into practice in their own classrooms Ron Berger is Chief Program Officer for EL Education and a former public school teacher Leaders of Their Own Learning shows educators how to ignite the capacity of students to take responsibility for their own learning, meet Common Core and state standards, and reach higher levels of achievement. DVD and other supplementary materials are not included as part of the e-book file, but are available for download after purchase.

Handbook of Research on Modern Educational Technologies, Applications, and Management

Author : Khosrow-Pour D.B.A., Mehdi
Publisher : IGI Global
ISBN 13 : 1799834778
Total Pages : 950 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Handbook of Research on Modern Educational Technologies, Applications, and Management by : Khosrow-Pour D.B.A., Mehdi

Download or read book Handbook of Research on Modern Educational Technologies, Applications, and Management written by Khosrow-Pour D.B.A., Mehdi and published by IGI Global. This book was released on 2020-07-10 with total page 950 pages. Available in PDF, EPUB and Kindle. Book excerpt: As technology and technological advancements become a more prevalent and essential aspect of daily and business life, educational institutions must keep pace in order to maintain relevance and retain their ability to adequately prepare students for their lives beyond education. Such institutions and their leaders are seeking relevant strategies for the implementation and effective use of new and upcoming technologies and leadership strategies to best serve students and educators within educational settings. As traditional education methods become more outdated, strategies to supplement and bolster them through technology and effective management become essential to the success of institutions and programs. The Handbook of Research on Modern Educational Technologies, Applications, and Management is an all-encompassing two-volume scholarly reference comprised of 58 original and previously unpublished research articles that provide cutting-edge, multidisciplinary research and expert insights on advancing technologies used in educational settings as well as current strategies for administrative and leadership roles in education. Covering a wide range of topics including but not limited to community engagement, educational games, data management, and mobile learning, this publication provides insights into technological advancements with educational applications and examines forthcoming implementation strategies. These strategies are ideal for teachers, instructional designers, curriculum developers, educational software developers, and information technology specialists looking to promote effective learning in the classroom through cutting-edge learning technologies, new learning theories, and successful leadership tactics. Administrators, educational leaders, educational policymakers, and other education professionals will also benefit from this publication by utilizing the extensive research on managing educational institutions and providing valuable training and professional development initiatives as well as implementing the latest administrative technologies. Additionally, academicians, researchers, and students in areas that include but are not limited to educational technology, academic leadership, mentorship, learning environments, and educational support systems will benefit from the extensive research compiled within this publication.

How Learning Works

Author : Susan A. Ambrose
Publisher : John Wiley & Sons
ISBN 13 : 0470617608
Total Pages : 336 pages
Book Rating : 4.4/5 (76 download)

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Book Synopsis How Learning Works by : Susan A. Ambrose

Download or read book How Learning Works written by Susan A. Ambrose and published by John Wiley & Sons. This book was released on 2010-04-16 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Probabilistic Machine Learning

Author : Kevin P. Murphy
Publisher : MIT Press
ISBN 13 : 0262369303
Total Pages : 858 pages
Book Rating : 4.2/5 (623 download)

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Book Synopsis Probabilistic Machine Learning by : Kevin P. Murphy

Download or read book Probabilistic Machine Learning written by Kevin P. Murphy and published by MIT Press. This book was released on 2022-03-01 with total page 858 pages. Available in PDF, EPUB and Kindle. Book excerpt: A detailed and up-to-date introduction to machine learning, presented through the unifying lens of probabilistic modeling and Bayesian decision theory. This book offers a detailed and up-to-date introduction to machine learning (including deep learning) through the unifying lens of probabilistic modeling and Bayesian decision theory. The book covers mathematical background (including linear algebra and optimization), basic supervised learning (including linear and logistic regression and deep neural networks), as well as more advanced topics (including transfer learning and unsupervised learning). End-of-chapter exercises allow students to apply what they have learned, and an appendix covers notation. Probabilistic Machine Learning grew out of the author’s 2012 book, Machine Learning: A Probabilistic Perspective. More than just a simple update, this is a completely new book that reflects the dramatic developments in the field since 2012, most notably deep learning. In addition, the new book is accompanied by online Python code, using libraries such as scikit-learn, JAX, PyTorch, and Tensorflow, which can be used to reproduce nearly all the figures; this code can be run inside a web browser using cloud-based notebooks, and provides a practical complement to the theoretical topics discussed in the book. This introductory text will be followed by a sequel that covers more advanced topics, taking the same probabilistic approach.