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Author: Diane Elkins
Publisher: Association for Talent Development
ISBN: 1607282720
Category : Business & Economics
Languages : en
Pages : 356
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Book Description
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.
Author: Diane Elkins
Publisher: Association for Talent Development
ISBN: 1607282720
Category : Business & Economics
Languages : en
Pages : 356
Get Book Here
Book Description
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.
Author: Wim Hof
Publisher: Rider
ISBN: 9781846046308
Category : Body, Mind & Spirit
Languages : en
Pages : 240
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Book Description
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
Author: Michael Martin
Publisher:
ISBN: 9781467561440
Category : Concealment (Criminal law)
Languages : en
Pages : 237
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Book Description
Concealed Carry and Home Defense Fundamentals is a comprehensive guide for anyone considering owning or carrying a firearm for self defense. The book is a complete guide to understanding conflict avoidance & situational awareness; handgun & shotgun basics; shooting fundamentals; the physiology of violent encounters; the legal aspects of using deadly force (including knowing what to do in the aftermath); and a complete guide on gear, gadgets, and ongoing training.
Author: Hui Jiang
Publisher: Cambridge University Press
ISBN: 1108837042
Category : Computers
Languages : en
Pages : 423
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Book Description
A coherent introduction to core concepts and deep learning techniques that are critical to academic research and real-world applications.
Author: Bill Cope
Publisher: Taylor & Francis
ISBN: 1317273362
Category : Education
Languages : en
Pages : 225
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Book Description
e-Learning Ecologies explores transformations in the patterns of pedagogy that accompany e-learning—the use of computing devices that mediate or supplement the relationships between learners and teachers—to present and assess learnable content, to provide spaces where students do their work, and to mediate peer-to-peer interactions. Written by the members of the "new learning" research group, this textbook suggests that e-learning ecologies may play a key part in shifting the systems of modern education, even as technology itself is pedagogically neutral. The chapters in this book aim to create an analytical framework with which to differentiate those aspects of educational technology that reproduce old pedagogical relations from those that are genuinely innovative and generative of new kinds of learning. Featuring case studies from elementary schools, colleges, and universities on the practicalities of new learning environments, e-Learning Ecologies elucidates the role of new technologies of knowledge representation and communication in bringing about change to educational institutions.
Author: Kaizhu Huang
Publisher: Springer
ISBN: 303006073X
Category : Medical
Languages : en
Pages : 168
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Book Description
The purpose of this edited volume is to provide a comprehensive overview on the fundamentals of deep learning, introduce the widely-used learning architectures and algorithms, present its latest theoretical progress, discuss the most popular deep learning platforms and data sets, and describe how many deep learning methodologies have brought great breakthroughs in various applications of text, image, video, speech and audio processing. Deep learning (DL) has been widely considered as the next generation of machine learning methodology. DL attracts much attention and also achieves great success in pattern recognition, computer vision, data mining, and knowledge discovery due to its great capability in learning high-level abstract features from vast amount of data. This new book will not only attempt to provide a general roadmap or guidance to the current deep learning methodologies, but also present the challenges and envision new perspectives which may lead to further breakthroughs in this field. This book will serve as a useful reference for senior (undergraduate or graduate) students in computer science, statistics, electrical engineering, as well as others interested in studying or exploring the potential of exploiting deep learning algorithms. It will also be of special interest to researchers in the area of AI, pattern recognition, machine learning and related areas, alongside engineers interested in applying deep learning models in existing or new practical applications.
Author: John D. Kelleher
Publisher: MIT Press
ISBN: 0262361108
Category : Computers
Languages : en
Pages : 853
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Book Description
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.
Author: Nikhil Buduma
Publisher: "O'Reilly Media, Inc."
ISBN: 1491925566
Category : Computers
Languages : en
Pages : 272
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Book Description
With the reinvigoration of neural networks in the 2000s, deep learning has become an extremely active area of research, one that’s paving the way for modern machine learning. In this practical book, author Nikhil Buduma provides examples and clear explanations to guide you through major concepts of this complicated field. Companies such as Google, Microsoft, and Facebook are actively growing in-house deep-learning teams. For the rest of us, however, deep learning is still a pretty complex and difficult subject to grasp. If you’re familiar with Python, and have a background in calculus, along with a basic understanding of machine learning, this book will get you started. Examine the foundations of machine learning and neural networks Learn how to train feed-forward neural networks Use TensorFlow to implement your first neural network Manage problems that arise as you begin to make networks deeper Build neural networks that analyze complex images Perform effective dimensionality reduction using autoencoders Dive deep into sequence analysis to examine language Learn the fundamentals of reinforcement learning
Author: Gus Wright
Publisher: Jones & Bartlett Learning
ISBN: 1284150933
Category : Transportation
Languages : en
Pages : 1929
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Book Description
"Thoroughly updated and expanded, 'Fundamentals of Medium/Heavy Duty Commercial Vehicle Systems, Second Edition' offers comprehensive coverage of basic concepts building up to advanced instruction on the latest technology, including distributed electronic control systems, energy-saving technologies, and automated driver-assistance systems. Now organized by outcome-based objectives to improve instructional clarity and adaptability and presented in a more readable format, all content seamlessly aligns with the latest ASE Medium-Heavy Truck Program requirements for MTST." --Back cover.
Author: D. Randy Garrison
Publisher: Routledge
ISBN: 1134574525
Category : Education
Languages : en
Pages : 188
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Book Description
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.
