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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.
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
This lucid, accessible introduction to supervised machine learning presents core concepts in a focused and logical way that is easy for beginners to follow. The author assumes basic calculus, linear algebra, probability and statistics but no prior exposure to machine learning. Coverage includes widely used traditional methods such as SVMs, boosted trees, HMMs, and LDAs, plus popular deep learning methods such as convolution neural nets, attention, transformers, and GANs. Organized in a coherent presentation framework that emphasizes the big picture, the text introduces each method clearly and concisely “from scratch” based on the fundamentals. All methods and algorithms are described by a clean and consistent style, with a minimum of unnecessary detail. Numerous case studies and concrete examples demonstrate how the methods can be applied in a variety of contexts.
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.
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.
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.
Uncover the extraordinary leader in you with straightforward exercises and advice from two of the world’s foremost leadership experts From the bestselling authors of The Leadership Challenge and over a dozen award-winning leadership books comes a new book that examines a question of fundamental importance: How do people learn to become leaders? Learning Leadership: The Five Fundamentals of Becoming an Exemplary Leader is a comprehensive guide to unleashing the inner leader in us all and to building a solid foundation for a lifetime of leadership growth and mastery. The book offers a concrete framework to help individuals of all levels, functions, and backgrounds take charge of their own leadership development and become the best leaders they can be. Arguing that all individuals are born with the capacity to lead, bestselling authors Kouzes and Posner provide readers with a practical series of actions and specific coaching tips for harnessing that capacity and creating a context in which they can excel. Supported by over 30 years of research, from over seventy countries, and with examples from real-world leaders, Learning Leadership is a clarion call to unleash the leadership potential that is already present in society today. Learning Leadership provides readers with evidence-based strategies to ignite the habit of continuous improvement and the mindset of becoming the best leaders they can be. Emerging leaders, as well as leadership developers, internal and external coaches and trainers, and other human resource professionals will learn from first-hand stories and practical examples so that they can deeply understand and apply the fundamentals for becoming the best leaders they can be. Learning Leadership: The Five Fundamentals of Becoming an Exemplary Leader is divided into digestible bite-sized chapters that encourage daily actions to becoming a better leader. Key takeaways from the book include: Believe in Yourself. Believing in oneself is the essential first step in developing leadership competencies. The best leaders are learners, and they can’t achieve mastery until and unless they truly decide that inside them there is a person who can make and difference and learn to be a better leader than they are right now. Aspire to Excel. To become an exemplary leader, people must determine what they care most about and why they want to lead. Leaders with values-based motivations are the most likely to excel. They also must have a clear image of the kind of leader they want to be in the future—and the legacy they want to leave for others. Challenge Yourself. Challenging oneself is critical to learning leadership. Leaders must seek new experiences and test themselves. There will be inevitable setbacks and failures along the way that require curiosity, grit, courage, and resilience to persist in learning and becoming the best. Engage Support. One can’t lead alone, and one can’t learn alone. It is essential to get support and coaching on the path to achieving excellence. Whether it’s family, managers at work, or professional coaches, leaders need the advice, feedback, care, and support of others. Practice Deliberately. No one gets better at anything without continuous practice. Exemplary leaders spend more time practicing than ordinary leaders. Simply being in the role of a leader is insufficient. To achieve mastery, leaders must set improvement goals, participate in designed learning experiences, ask for feedback, and get coaching. They also put in the time every day and make learning leadership a daily habit. Kouzes and Posner offer unrivaled insights into what it means to become an exemplary leader in today’s world with their original research and over 30 years of experience studying the practices of extraordinary leadership. They show that anyone can become a better leader if they believe in themselves, aspire to excel, challenge themselves to grow, engage the support of others, and practice deliberately. Learning Leadership challenges readers to do the meaningful and disciplined work necessary to becoming the best they can, using a new mindset and toolkit that can make extraordinary things happen. It’s not the once-in-a-while transformational acts that demonstrate leadership. It’s the little things that one does day in and day out that pave the path to greatness.
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.
Training Fundamentals is a no-nonsense, practical overview of training, filled with useful information, best practices, and proven strategies to help both new and experienced trainers develop their skills and design and deliver training that achieves results in today's rapidly changing learning environment. Designed to be easy-to-use, Training Fundamentals covers a range of topics, including: How training helps organizations achieve their goals What characteristics and skills a trainer needs to be successful The adult learning principles that guide all successful training programs The basics of designing, developing, delivering, and evaluating training programs Guidelines for becoming a professional trainer The Pfeiffer Essential Guides to Training Basics is a three-volume series Training Fundamentals, Designing and Developing Training Programs, and Delivering Training Workshops that offers new and experienced trainers a wealth of ideas, information, tips, tools, and techniques. Praise for Training Fundamentals "Training it sounds so simple, but it's not. This book provides an essential and practical foundation for designing and delivering a successful workshop. It's easy to use, practical, and chock full of insights only a successful trainer knows." Barbara Nelson, principal of Nelson Communications "With crisp, fresh, and easy to understand language, Chan cuts through all the jargon and provides easy to follow guidelines for becoming a pro." Terrence L. Gargiulo, president, MAKINGSTORIES.net, and author, Building Business Acumen for Trainers and Trainer's Portable Mentor
Higher education institutions around the world are increasingly turning to e-learning as a way of dealing with growing and changing student populations. Education for the knowledge society means new skills and knowledge are needed and it means that lifelong learning has become a necessity. Higher education institutions are looking to e-learning to provide convenient and flexible access to high quality education and training that is needed to meet these emerging demands. As they implement e-learning, however, institutions are struggling with the many pedagogical, organizational and technological issues. Making the Transition to E-learning: Strategies and Issues provides insights and experiences from e-learning experts from around the world. It addresses the institutional, pedagogical, and technological issues that higher education institutions are grappling with as they move from conventional face-to-face teaching to e-learning in its diverse forms.