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E Learning Fundamentals


E Learning Fundamentals
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E Learning Fundamentals


E Learning Fundamentals
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Author : Diane Elkins
language : en
Publisher: Association for Talent Development
Release Date : 2015-06-01

E Learning Fundamentals written by Diane Elkins and has been published by Association for Talent Development this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-06-01 with Business & Economics categories.


This ultimate roadmap covers the entire e-learning landscape. Why do we even need e-learning? What is an LMS? How do I write a storyboard? If you’re delving into e-learning and are coming up with more questions than answers, this guide is the high-level overview you’ve been looking for. In this book, e-learning development experts and educators Diane Elkins and Desirée Pinder deliver a comprehensive examination of the e-learning process from the ground up. E-Learning Fundamentals provides the base of knowledge necessary to tackle everything from early concepts of e-learning down to its execution. Throughout, you’ll find vignettes that bring concepts to life as well as checklists and practical tools for designing and developing your first e-learning course. In this book you will: dive into the basics of e-learning design and development explore the e-learning course design and development process—from analysis through evaluation learn to write and storyboard a course, construct test questions, choose media, put the course together, and establish a thorough review process.



E Learning Methodologies


E Learning Methodologies
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Author : Mukta Goyal
language : en
Publisher: IET
Release Date : 2021-02-16

E Learning Methodologies written by Mukta Goyal and has been published by IET this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-02-16 with Computers categories.


E-learning has become an important part of our educational life with the development of e-learning systems and platforms and the need for online and remote learning. ICT and computational intelligence techniques are being used to design more intelligent and adaptive systems. However, the art of designing good real-time e-learning systems is difficult as different aspects of learning need to be considered including challenges such as learning rates, involvement, knowledge, qualifications, as well as networking and security issues. The earlier concepts of standalone integrated virtual e-learning systems have been greatly enhanced with emerging technologies such as cloud computing, mobile computing, big data, Internet of Things (IoT), AI and machine learning, and AR/VT technologies.



Deep Learning


Deep Learning
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Author : Ian Goodfellow
language : en
Publisher: MIT Press
Release Date : 2016-11-10

Deep Learning written by Ian Goodfellow and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-11-10 with Computers categories.


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 Wim Hof Method


The Wim Hof Method
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Author : Wim Hof
language : en
Publisher: Rider
Release Date : 2022-04-14

The Wim Hof Method written by Wim Hof and has been published by Rider this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-04-14 with Body, Mind & Spirit categories.


THE SUNDAY TIMES BESTSELLING PHENOMENOM 'I've never felt so alive' JOE WICKS 'The book will change your life' BEN FOGLE My hope is to inspire you to retake control of your body and life by unleashing the immense power of the mind. 'The Iceman' Wim Hof shares his remarkable life story and powerful method for supercharging your strength, health and happiness. Refined over forty years and championed by scientists across the globe, you'll learn how to harness three key elements of Cold, Breathing and Mindset to master mind over matter and achieve the impossible. 'Wim is a legend of the power ice has to heal and empower' BEAR GRYLLS 'Thor-like and potent...Wim has radioactive charisma' RUSSELL BRAND



Fundamentals Of Machine Learning


Fundamentals Of Machine Learning
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Author : Thomas P. Trappenberg
language : en
Publisher:
Release Date : 2020

Fundamentals Of Machine Learning written by Thomas P. Trappenberg and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with Computers categories.


Interest in machine learning is exploding across the world, both in research and for industrial applications. Fundamentals of Machine Learning provides a brief and accessible introduction to this rapidly growing field, one that will appeal to both students and researchers.



Handbook Of Human Factors In Web Design


Handbook Of Human Factors In Web Design
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Author : Kim-Phuong L. Vu
language : en
Publisher: CRC Press
Release Date : 2011-04-25

Handbook Of Human Factors In Web Design written by Kim-Phuong L. Vu and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-04-25 with Computers categories.


The Handbook of Human Factors in Web Design covers basic human factors issues relating to screen design, input devices, and information organization and processing, as well as addresses newer features which will become prominent in the next generation of Web technologies. These include multimodal interfaces, wireless capabilities, and agents t



Handbook Of Research On Instructional Systems And Technology


Handbook Of Research On Instructional Systems And Technology
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Author : Terry T. Kidd
language : en
Publisher:
Release Date : 2008

Handbook Of Research On Instructional Systems And Technology written by Terry T. Kidd and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with Educational innovations categories.


"This book provides information on different styles of instructional design methodologies, tips, and strategies on how to use technology to facilitate active learning and techniques to help faculty and researchers develop online instructional and teaching materials. It enables libraries to provide a foundational reference for researchers, educators, administrators, and others in the context of instructional systems and technology"--Provided by publisher.



Fundamentals Of Machine Learning For Predictive Data Analytics Second Edition


Fundamentals Of Machine Learning For Predictive Data Analytics Second Edition
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Author : John D. Kelleher
language : en
Publisher: MIT Press
Release Date : 2020-10-20

Fundamentals Of Machine Learning For Predictive Data Analytics Second Edition written by John D. Kelleher and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-20 with Computers categories.


The second edition of a comprehensive introduction to machine learning approaches used in predictive data analytics, covering both theory and practice. Machine learning is often used to build predictive models by extracting patterns from large datasets. These models are used in predictive data analytics applications including price prediction, risk assessment, predicting customer behavior, and document classification. This introductory textbook offers a detailed and focused treatment of the most important machine learning approaches used in predictive data analytics, covering both theoretical concepts and practical applications. Technical and mathematical material is augmented with explanatory worked examples, and case studies illustrate the application of these models in the broader business context. This second edition covers recent developments in machine learning, especially in a new chapter on deep learning, and two new chapters that go beyond predictive analytics to cover unsupervised learning and reinforcement learning.



Learning How To Learn


Learning How To Learn
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Author : Barbara Oakley, PhD
language : en
Publisher: Penguin
Release Date : 2018-08-07

Learning How To Learn written by Barbara Oakley, PhD and has been published by Penguin this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-08-07 with Juvenile Nonfiction categories.


A surprisingly simple way for students to master any subject--based on one of the world's most popular online courses and the bestselling book A Mind for Numbers A Mind for Numbers and its wildly popular online companion course "Learning How to Learn" have empowered more than two million learners of all ages from around the world to master subjects that they once struggled with. Fans often wish they'd discovered these learning strategies earlier and ask how they can help their kids master these skills as well. Now in this new book for kids and teens, the authors reveal how to make the most of time spent studying. We all have the tools to learn what might not seem to come naturally to us at first--the secret is to understand how the brain works so we can unlock its power. This book explains: Why sometimes letting your mind wander is an important part of the learning process How to avoid "rut think" in order to think outside the box Why having a poor memory can be a good thing The value of metaphors in developing understanding A simple, yet powerful, way to stop procrastinating Filled with illustrations, application questions, and exercises, this book makes learning easy and fun.



E Learning In The 21st Century


E Learning In The 21st Century
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Author : D. Randy Garrison
language : en
Publisher: Routledge
Release Date : 2003-08-29

E Learning In The 21st Century written by D. Randy Garrison and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-08-29 with Education categories.


There is currently a technological revolution taking place in higher education. The growth of e-learning is being described as explosive, unprecedented, and above all, disruptive. This timely and comprehensive book provides a coherent framework for understanding e-learning in higher education. The authors draw on their extensive research in the area to explore the technological, pedagogical and organisational implications of e-learning, and more importantly, they provide practical models for educators to use to realise the full potential of e-learning. A unique feature of the book is that the authors focus less on the ever-evolving technologies and more on the search for an understanding of these technologies from an educational perspective. This book will be invaluable for researchers, practitioners and senior administrators looking for guidance on how to successfully adopt e-learning in their institutions. It will also appeal to anyone with an interest in the impact of e-learning on higher education and society.