Advanced Learning

Author : Kevin P. Murphy
Publisher : MIT Press
Page : 858 pages
File Size : 44,8 Mb
Release : 2022-03-01
Category : Computers
ISBN : 9780262369305

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Probabilistic Machine Learning by Kevin P. Murphy Pdf

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.

Author : Taeho Jo
Publisher : Springer Nature
Page : 391 pages
File Size : 45,6 Mb
Release : 2021-02-12
Category : Technology & Engineering
ISBN : 9783030659004

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Machine Learning Foundations by Taeho Jo Pdf

This book provides conceptual understanding of machine learning algorithms though supervised, unsupervised, and advanced learning techniques. The book consists of four parts: foundation, supervised learning, unsupervised learning, and advanced learning. The first part provides the fundamental materials, background, and simple machine learning algorithms, as the preparation for studying machine learning algorithms. The second and the third parts provide understanding of the supervised learning algorithms and the unsupervised learning algorithms as the core parts. The last part provides advanced machine learning algorithms: ensemble learning, semi-supervised learning, temporal learning, and reinforced learning. Provides comprehensive coverage of both learning algorithms: supervised and unsupervised learning; Outlines the computation paradigm for solving classification, regression, and clustering; Features essential techniques for building the a new generation of machine learning.

Author : Albert Ziegler,Heidrun Stoeger,Wilma Vialle
Publisher : Frontiers Media SA
Page : 126 pages
File Size : 46,5 Mb
Release : 2021-09-07
Category : Science
ISBN : 9782889712625

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Advanced Learning by Albert Ziegler,Heidrun Stoeger,Wilma Vialle Pdf

Author : Henry Diaz
Publisher : Henry Diaz
Page : 80 pages
File Size : 50,5 Mb
Release : 101-01-01
Category : Psychology
ISBN : 8210379456XXX

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Brain Training: Incredible Brain Training Strategies Your Mind Power (Advanced Learning Strategies to Improve and Expand Memory Concentration) by Henry Diaz Pdf

If your answer is yes, then you have bought the perfect book for yourself. Just like our bodies, we can train our brain to work more efficiently. In this book, I will give tips on how to achieve better mind control, concentration, and memory. Most of us are only concerned with our physical aspects but what goes on here pointing at temple is far more important. A healthy brain means a healthy person, so it also makes sense to exercise our mind. Whit this book you will also learn: · Information on how the brain works · The left and the right size of the brain and how they vary · How emotion and stress disrupt your brain's functioning · How to concentrate more clearly in the moment · How we forget the past · How to improve concentration · How to use association to remember information · And a lot more! Pearson does not sponsor or endorse any author’s product, nor have author’s products or services been reviewed, certified, or approved by Pearson. Trademarks referring to specific test providers are used by the author for nominative purposes only and such trademarks are solely the property of their respective owners.

Author : Magued Iskander
Publisher : Springer Science & Business Media
Page : 472 pages
File Size : 43,6 Mb
Release : 2007-09-04
Category : Technology & Engineering
ISBN : 9781402062629

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Innovations in E-learning, Instruction Technology, Assessment and Engineering Education by Magued Iskander Pdf

This book includes a set of rigorously reviewed world-class manuscripts addressing and detailing state-of-the-art research projects in the areas of Engineering Education, Instructional Technology, Assessment, and E-learning. The book presents selected papers form the conference proceedings of the International Conference on Engineering Education, Instructional Technology, Assessment, and E-learning (EIAE 2006). All aspects of the conference were managed on-line.

Author : Peter Hollins
Publisher : PKCS Media
Page : 138 pages
File Size : 47,5 Mb
Release : 2021-03-11
Category : Business & Economics
ISBN : PKEY:6610000288090

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Super Learning by Peter Hollins Pdf

Make learning: painless, exciting, habitual, and self-motivating. Absorb info like a human sponge. We’ve never been taught how to learn, and that’s a shame. This book is the key to reversing all the misconceptions you have and making learning fun again. Scientifically-proven, step-by-step methods for effective learning. Smart Learning is not a textbook - it’s a guidebook for your journeys in learning. It will show you the most effective methods, the pitfalls we must avoid, and the habits we must cultivate. This book is highly organized and addresses all phases of the learning process, from creating a positive environment, to the biological basis of memory, to learning theories, and more. It borrows from multiple scientific disciplines to present comprehensive techniques to simply learn more, faster. Master your approach and save countless hours. Peter Hollins has studied psychology and peak human performance for over a dozen years and is a bestselling author. He has worked with a multitude of individuals to unlock their potential and path towards success. His writing draws on his academic, coaching, and research experience. Smarter, faster, and better ways to achieve expertise. •The physical and psychological pre-conditions to effective learning. •How our memory works and how to make it work for you. •The learning techniques that work - with evidence. •How to never need to cram again. •Why Einstein loved to play violin while working. •The learning mistakes you are probably committing right now. Outpace others, beat the competition, and get where you want to go in record time.

Author : Mauly Halwat Hikmat,Yasir Sidiq,Naufal Ishartono,Yunus Sulistyono,Patmisari,Susiati
Publisher : Springer Nature
Page : 2656 pages
File Size : 45,9 Mb
Release : 2023-08-29
Category : Education
ISBN : 9782384760862

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Proceedings of the International Conference on Learning and Advanced Education (ICOLAE 2022) by Mauly Halwat Hikmat,Yasir Sidiq,Naufal Ishartono,Yunus Sulistyono,Patmisari,Susiati Pdf

This is an open access book. The COVID-19 pandemic in the last two years has influenced how educational system works. Online learning became the primal policy taken by all institutions in the world to lower the risk of the virus spread. Despite the drawbacks of the online learning, teachers and students were accustomed with the distant learning through web meetings, Learning Management Systems (LMS) and other online learning platforms. In that time, topics under digital learning and education 5.0 were the main stakes in academic disseminations. This year some institutions start to conduct their teaching and learning process classically as before the pandemic, others are still continuing online and not few are in hybrid. This leaves a question: what learning reform should be made in post-pandemic era? This conference invites researchers, experts, teachers and students to discuss the coping solutions of the question. It is important for them to contribute to the understanding of re-imaging online education for better futures, innovative learning design, new skills for living and working in new times, global challenge of education, learning and teaching with blended learning, flipped learning, integrating life skills for students in the curriculum, developing educators for the future distance learning, humanities learning in the digital era, assessment and measurement in education, challenges and transformations in education, technology in teaching and learning, new learning and teaching models. Not limited to these, scholars may add another interesting topic related to learning reform in post-pandemic era to present.

Author : Kevin P. Murphy
Publisher : MIT Press
Page : 1102 pages
File Size : 51,9 Mb
Release : 2012-08-24
Category : Computers
ISBN : 9780262018029

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Machine Learning by Kevin P. Murphy Pdf

A comprehensive introduction to machine learning that uses probabilistic models and inference as a unifying approach. Today's Web-enabled deluge of electronic data calls for automated methods of data analysis. Machine learning provides these, developing methods that can automatically detect patterns in data and then use the uncovered patterns to predict future data. This textbook offers a comprehensive and self-contained introduction to the field of machine learning, based on a unified, probabilistic approach. The coverage combines breadth and depth, offering necessary background material on such topics as probability, optimization, and linear algebra as well as discussion of recent developments in the field, including conditional random fields, L1 regularization, and deep learning. The book is written in an informal, accessible style, complete with pseudo-code for the most important algorithms. All topics are copiously illustrated with color images and worked examples drawn from such application domains as biology, text processing, computer vision, and robotics. Rather than providing a cookbook of different heuristic methods, the book stresses a principled model-based approach, often using the language of graphical models to specify models in a concise and intuitive way. Almost all the models described have been implemented in a MATLAB software package—PMTK (probabilistic modeling toolkit)—that is freely available online. The book is suitable for upper-level undergraduates with an introductory-level college math background and beginning graduate students.

Author : G. Chiazzese,M. Allegra,A. Chifari,S. Ottaviano
Publisher : WIT Press
Page : 649 pages
File Size : 42,9 Mb
Release : 2005-03-04
Category : Education
ISBN : 9781845641559

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Methods and Technologies for Learning by G. Chiazzese,M. Allegra,A. Chifari,S. Ottaviano Pdf

For more than a decade the rapid growth of ICT and its use in education have generated a lot of changes in traditional educational structures as well as interest in defining new models for designing advanced learning solutions. This book provides an overview of international perspectives regarding the latest innovations and results in different fields of education. In particular, it is addressed to all those who are interested in exploring methodologies and extending their knowledge of current research in education and training technologies. The wide variety of contributions provides an interesting and useful account of some of the major issues and controversies facing researchers, academicians, professors, educational scientists and technologists in most of the educational contexts in which ICT is applied. Over 90 papers are featured and these are divided under headings including: Online Education and Training; Innovative Teaching and Learning Technologies; Collaborative Learning Environments; Navigation Strategies and Comprehension; Mobile Learning; Quality Issues of Distance Learning Processes; Knowledge Management and E-learning; Learning Technologies for Primary and Secondary Schools; Educational System for People with Special Needs.

Author : James M. Kauffman
Publisher : Emerald Group Publishing
Page : 177 pages
File Size : 50,5 Mb
Release : 2022-09-26
Category : Education
ISBN : 9781801174961

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Revitalizing Special Education by James M. Kauffman Pdf

Revitalizing Special Education presents neither a pessimistic nor a Pollyannish view of past or future, but rather is a careful assessment of some of the greatest threats to robust special education posed by distorted and misguided thinking about what special education is and does.

Author : Peter Hollins
Publisher : PublishDrive
Page : 146 pages
File Size : 50,7 Mb
Release : 2019-08-13
Category : Self-Help
ISBN : PKEY:6610000219148

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The Science of Accelerated Learning by Peter Hollins Pdf

Make learning: painless, exciting, habitual, and self-motivating. Absorb info like a human sponge. We’ve never been taught how to learn, and that’s a shame. This book is the key to reversing all the misconceptions you have and making learning fun again. Scientifically-proven, step-by-step methods for effective learning. The Science of Accelerated Learning is not a textbook - it’s a guidebook for your journeys in learning. It will show you the most effective methods, the pitfalls we must avoid, and the habits we must cultivate. This book is highly organized and addresses all phases of the learning process, from creating a positive environment, to the biological basis of memory, to learning theories, and more. It borrows from multiple scientific disciplines to present comprehensive techniques to simply learn more, faster. Master your approach and save countless hours. Peter Hollins has studied psychology and peak human performance for over a dozen years and is a bestselling author. He has worked with a multitude of individuals to unlock their potential and path towards success. His writing draws on his academic, coaching, and research experience. Smarter, faster, and better ways to achieve expertise. •The physical and psychological pre-conditions to effective learning. •How our memory works and how to make it work for you. •The learning techniques that work - with evidence. •How to never need to cram again. Tame distractions and procrastination through specialized habits. •Why Einstein loved to play violin while working. •The learning mistakes you are probably committing right now. •Steps to building true expertise. •How to teach effectively, and teach to learn. Outpace others, beat the competition, and get where you want to go in record time.

Author : Chester E. Finn, Jr.,Andrew E. Scanlan
Publisher : Princeton University Press
Page : 292 pages
File Size : 55,6 Mb
Release : 2021-05-11
Category : Education
ISBN : 9780691216911

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Learning in the Fast Lane by Chester E. Finn, Jr.,Andrew E. Scanlan Pdf

"More than three million high-school students take five million Advanced Placement exams each May, yet remarkably little is known about how this sixty-year-old, privately-run program, has become one of U.S. education's greatest successes. From its mid-century origin as a tiny option for privileged kids from posh schools, AP has also emerged as a booster rocket into college for hundreds of thousands of disadvantaged youngsters. It challenges smart kids, affects school ratings, affords rewarding classroom challenges to great teachers, tunes up entire schools, and draws vast support from philanthropists, education reformers and policymakers. AP stands as America's foremost source of college-level academics for high school pupils. Praised for its rigor and integrity, more than 22,000 schools now offer some-or many-of its thirty-eight subjects, from Latin to calculus, art to computer science. But challenges abound today, as AP faces stiffening competition (especially dual credit), curriculum wars, charges of elitism, misgivings by elite schools and universities, and the arduous work of infusing rigor into schools that lack it and academic success into young people unaccustomed to it. In today's polarized climate, can Advanced Placement maintain its lofty standards and overcome the hostility, politics and despair that have sunk so many other bold education ventures? Advanced Placement: The Unsung Success Story of American Education is a unique account-richly documented and thoroughly readable-of the AP program in all its strengths and travails, written by two of America's most respected education analysts"--

Author : Denis Rothman
Publisher : Packt Publishing Ltd
Page : 579 pages
File Size : 49,8 Mb
Release : 2020-02-28
Category : Computers
ISBN : 9781839212819

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Artificial Intelligence By Example by Denis Rothman Pdf

Understand the fundamentals and develop your own AI solutions in this updated edition packed with many new examples Key FeaturesAI-based examples to guide you in designing and implementing machine intelligenceBuild machine intelligence from scratch using artificial intelligence examplesDevelop machine intelligence from scratch using real artificial intelligenceBook Description AI has the potential to replicate humans in every field. Artificial Intelligence By Example, Second Edition serves as a starting point for you to understand how AI is built, with the help of intriguing and exciting examples. This book will make you an adaptive thinker and help you apply concepts to real-world scenarios. Using some of the most interesting AI examples, right from computer programs such as a simple chess engine to cognitive chatbots, you will learn how to tackle the machine you are competing with. You will study some of the most advanced machine learning models, understand how to apply AI to blockchain and Internet of Things (IoT), and develop emotional quotient in chatbots using neural networks such as recurrent neural networks (RNNs) and convolutional neural networks (CNNs). This edition also has new examples for hybrid neural networks, combining reinforcement learning (RL) and deep learning (DL), chained algorithms, combining unsupervised learning with decision trees, random forests, combining DL and genetic algorithms, conversational user interfaces (CUI) for chatbots, neuromorphic computing, and quantum computing. By the end of this book, you will understand the fundamentals of AI and have worked through a number of examples that will help you develop your AI solutions. What you will learnApply k-nearest neighbors (KNN) to language translations and explore the opportunities in Google TranslateUnderstand chained algorithms combining unsupervised learning with decision treesSolve the XOR problem with feedforward neural networks (FNN) and build its architecture to represent a data flow graphLearn about meta learning models with hybrid neural networksCreate a chatbot and optimize its emotional intelligence deficiencies with tools such as Small Talk and data loggingBuilding conversational user interfaces (CUI) for chatbotsWriting genetic algorithms that optimize deep learning neural networksBuild quantum computing circuitsWho this book is for Developers and those interested in AI, who want to understand the fundamentals of Artificial Intelligence and implement them practically. Prior experience with Python programming and statistical knowledge is essential to make the most out of this book.

Author : Deborah Eyre
Publisher : Routledge
Page : 136 pages
File Size : 49,9 Mb
Release : 2016-01-12
Category : Education
ISBN : 9781317379287

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High Performance Learning by Deborah Eyre Pdf

Schools that want to be world class are now paying attention to the findings from neuroscience and psychology that tell us we can build better brains. They are changing their mindset, expecting success for far more students and no longer being constrained by ideas of genetic potential. High Performance Learning provides readers with a ground-breaking and approachable model for achieving high levels of academic performance for all students and schools. It takes what is known about how people reach advanced cognitive performance and translates it into a practical and user-friendly framework, which can be used with all students to systematically build the cognitive thinking skills and learner behaviours that will deliver success in school, in the workplace and in later life. Flexible and adaptable, High Performance Learning can be used in any context, with any curriculum and at any age. It does not require separate lessons but rather becomes the underpinning pedagogy of the school. Drawing on the author’s 40 years of research into how the most able students think and learn, this book provides a framework that has been extensively trialled in schools in eleven countries. . Themes include: Creating world class schools The High Performance Learning environment The High Performance Learning framework Advanced Cognitive Performance characteristics (ACPs) Values, Attitudes and Attributes (VAAs) Creating and leading a High Performance Learning school The role of parents, universities and employers. This invaluable resource will help schools make the move from good to world class and will be essential reading for school leaders, teachers and those with an interest in outstanding academic performance.

Author : J. Michael Spector
Publisher : SAGE Publications
Page : 1845 pages
File Size : 44,8 Mb
Release : 2015-01-29
Category : Education
ISBN : 9781506311296

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The SAGE Encyclopedia of Educational Technology by J. Michael Spector Pdf

The SAGE Encyclopedia of Educational Technology examines information on leveraging the power of technology to support teaching and learning. While using innovative technology to educate individuals is certainly not a new topic, how it is approached, adapted, and used toward the services of achieving real gains in student performance is extremely pertinent. This two-volume encyclopedia explores such issues, focusing on core topics and issues that will retain relevance in the face of perpetually evolving devices, services, and specific techniques. As technology evolves and becomes even more low-cost, easy-to-use, and more accessible, the education sector will evolve alongside it. For instance, issues surrounding reasoning behind how one study has shown students retain information better in traditional print formats are a topic explored within the pages of this new encyclopedia. Features: A collection of 300-350 entries are organized in A-to-Z fashion in 2 volumes available in a choice of print or electronic formats. Entries, authored by key figures in the field, conclude with cross references and further readings. A detailed index, the Reader’s Guide themes, and cross references combine for search-and-browse in the electronic version. This reference encyclopedia is a reliable and precise source on educational technology and a must-have reference for all academic libraries.