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Author: Dale Shuttleworth
Publisher: Routledge
ISBN: 1134915713
Category : Education
Languages : en
Pages : 239
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Book Description
First Published in 2004. Routledge is an imprint of Taylor & Francis, an informa company.
Author: Dale Shuttleworth
Publisher: Routledge
ISBN: 1134915713
Category : Education
Languages : en
Pages : 239
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Book Description
First Published in 2004. Routledge is an imprint of Taylor & Francis, an informa company.
Author: David A. Garvin
Publisher: Harvard Business Review Press
ISBN: 1633690393
Category : Business & Economics
Languages : en
Pages : 273
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Book Description
Most managers today understand the value of building a learning organization. Their goal is to leverage knowledge and make it a key corporate asset, yet they remain uncertain about how best to get started. What they lack are guidelines and tools that transform abstract theory—the learning organization as an ideal—into hands-on implementation. For the first time in Learning in Action, David Garvin helps managers make the leap from theory to proven practice. Garvin argues that at the heart of organizational learning lies a set of processes that can be designed, deployed, and led. He starts by describing the basic steps in every learning process—acquiring, interpreting, and applying knowledge—then examines the critical challenges facing managers at each of these stages and the various ways the challenges can be met. Drawing on decades of scholarship and a wealth of examples from a wide range of fields, Garvin next introduces three modes of learning—intelligence gathering, experience, and experimentation—and shows how each mode is most effectively deployed. These approaches are brought to life in complete, richly detailed case studies of learning in action at organizations such as Xerox, L. L. Bean, the U. S. Army, and GE. The book concludes with a discussion of the leadership role that senior executives must play to make learning a day-to-day reality in their organizations.
Author: Barbara Prashnig
Publisher: Network Continuum
ISBN:
Category : Education
Languages : en
Pages : 216
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Book Description
The sequel to Barbara Prashnig's influential book The Power of Diversity
Author: Alexander Zai
Publisher: Manning
ISBN: 1617295434
Category : Computers
Languages : en
Pages : 381
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Book Description
Summary Humans learn best from feedback—we are encouraged to take actions that lead to positive results while deterred by decisions with negative consequences. This reinforcement process can be applied to computer programs allowing them to solve more complex problems that classical programming cannot. Deep Reinforcement Learning in Action teaches you the fundamental concepts and terminology of deep reinforcement learning, along with the practical skills and techniques you’ll need to implement it into your own projects. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Deep reinforcement learning AI systems rapidly adapt to new environments, a vast improvement over standard neural networks. A DRL agent learns like people do, taking in raw data such as sensor input and refining its responses and predictions through trial and error. About the book Deep Reinforcement Learning in Action teaches you how to program AI agents that adapt and improve based on direct feedback from their environment. In this example-rich tutorial, you’ll master foundational and advanced DRL techniques by taking on interesting challenges like navigating a maze and playing video games. Along the way, you’ll work with core algorithms, including deep Q-networks and policy gradients, along with industry-standard tools like PyTorch and OpenAI Gym. What's inside Building and training DRL networks The most popular DRL algorithms for learning and problem solving Evolutionary algorithms for curiosity and multi-agent learning All examples available as Jupyter Notebooks About the reader For readers with intermediate skills in Python and deep learning. About the author Alexander Zai is a machine learning engineer at Amazon AI. Brandon Brown is a machine learning and data analysis blogger. Table of Contents PART 1 - FOUNDATIONS 1. What is reinforcement learning? 2. Modeling reinforcement learning problems: Markov decision processes 3. Predicting the best states and actions: Deep Q-networks 4. Learning to pick the best policy: Policy gradient methods 5. Tackling more complex problems with actor-critic methods PART 2 - ABOVE AND BEYOND 6. Alternative optimization methods: Evolutionary algorithms 7. Distributional DQN: Getting the full story 8.Curiosity-driven exploration 9. Multi-agent reinforcement learning 10. Interpretable reinforcement learning: Attention and relational models 11. In conclusion: A review and roadmap
Author: Caroline Haythornthwaite
Publisher: SAGE
ISBN: 1473954991
Category : Education
Languages : en
Pages : 754
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Book Description
The new edition of The SAGE Handbook of E-Learning Research retains the original effort of the first edition by focusing on research while capturing the leading edge of e-learning development and practice. Chapters focus on areas of development in e-learning technology, theory, practice, pedagogy and method of analysis. Covering the full extent of e-learning can be a challenge as developments and new features appear daily. The editors of this book meet this challenge by including contributions from leading researchers in areas that have gained a sufficient critical mass to provide reliable results and practices. The 25 chapters are organised into six key areas: 1. THEORY 2. LITERACY & LEARNING 3. METHODS & PERSPECTIVES 4. PEDAGOGY & PRACTICE 5. BEYOND THE CLASSROOM 6. FUTURES
Author: Ron Ritchhart
Publisher: John Wiley & Sons
ISBN: 111897462X
Category : Education
Languages : en
Pages : 391
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Book Description
Discover why and how schools must become places where thinking is valued, visible, and actively promoted As educators, parents, and citizens, we must settle for nothing less than environments that bring out the best in people, take learning to the next level, allow for great discoveries, and propel both the individual and the group forward into a lifetime of learning. This is something all teachers want and all students deserve. In Creating Cultures of Thinking: The 8 Forces We Must Master to Truly Transform Our Schools, Ron Ritchhart, author of Making Thinking Visible, explains how creating a culture of thinking is more important to learning than any particular curriculum and he outlines how any school or teacher can accomplish this by leveraging 8 cultural forces: expectations, language, time, modeling, opportunities, routines, interactions, and environment. With the techniques and rich classroom vignettes throughout this book, Ritchhart shows that creating a culture of thinking is not about just adhering to a particular set of practices or a general expectation that people should be involved in thinking. A culture of thinking produces the feelings, energy, and even joy that can propel learning forward and motivate us to do what at times can be hard and challenging mental work.
Author: Peter Harrington
Publisher: Simon and Schuster
ISBN: 1638352453
Category : Computers
Languages : en
Pages : 558
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Book Description
Summary Machine Learning in Action is unique book that blends the foundational theories of machine learning with the practical realities of building tools for everyday data analysis. You'll use the flexible Python programming language to build programs that implement algorithms for data classification, forecasting, recommendations, and higher-level features like summarization and simplification. About the Book A machine is said to learn when its performance improves with experience. Learning requires algorithms and programs that capture data and ferret out the interestingor useful patterns. Once the specialized domain of analysts and mathematicians, machine learning is becoming a skill needed by many. Machine Learning in Action is a clearly written tutorial for developers. It avoids academic language and takes you straight to the techniques you'll use in your day-to-day work. Many (Python) examples present the core algorithms of statistical data processing, data analysis, and data visualization in code you can reuse. You'll understand the concepts and how they fit in with tactical tasks like classification, forecasting, recommendations, and higher-level features like summarization and simplification. Readers need no prior experience with machine learning or statistical processing. Familiarity with Python is helpful. Purchase of the print book comes with an offer of a free PDF, ePub, and Kindle eBook from Manning. Also available is all code from the book. What's Inside A no-nonsense introduction Examples showing common ML tasks Everyday data analysis Implementing classic algorithms like Apriori and Adaboos Table of Contents PART 1 CLASSIFICATION Machine learning basics Classifying with k-Nearest Neighbors Splitting datasets one feature at a time: decision trees Classifying with probability theory: naïve Bayes Logistic regression Support vector machines Improving classification with the AdaBoost meta algorithm PART 2 FORECASTING NUMERIC VALUES WITH REGRESSION Predicting numeric values: regression Tree-based regression PART 3 UNSUPERVISED LEARNING Grouping unlabeled items using k-means clustering Association analysis with the Apriori algorithm Efficiently finding frequent itemsets with FP-growth PART 4 ADDITIONAL TOOLS Using principal component analysis to simplify data Simplifying data with the singular value decomposition Big data and MapReduce
Author: Mike Pedler
Publisher: Gower Publishing, Ltd.
ISBN: 9781409418412
Category : Business & Economics
Languages : en
Pages : 486
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Book Description
Previous editions of this book established themselves as authoritative overviews of action learning practice around the globe. Given the increase in action learning activity since this book last appeared, the demand for an up-to-date edition has grown. Whilst chapters on action learning are now obligatory in every collection on leadership and management development, there is still no competing specialist work of this nature.
Author: Jack J. Phillips
Publisher: Association for Talent Development
ISBN: 160728491X
Category : Business & Economics
Languages : en
Pages : 208
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Book Description
Do You Want to Make Better Use of Your Organizational Resources and Create More Relevant, More Effective Training? The emergence of the knowledge economy has brought new challenges to most organizations. To succeed, organizations have to respond quickly to this continuum of change. Off-the-job training requires a sizeable investment in organizational resources with sometimes questionable outcomes. This book, Implementing On-the-Job Learning, will illustrate how other companies have used and implemented a particular approach to facilitating employee learning in organizations—structured on-the-job learning. Structured on-the-job learning programs have the potential to make better use of your organization’s resources and create training that is more relevant and effective. This casebook should interest anyone involved in human resource development, especially those who make decisions regarding the design and delivery of training programs. The primary audience is practitioners who want to implement on-the-job training programs but have been frustrated in their attempts to find solid, real-life examples. Instructors, students in university and seminar settings, and researchers will also find this book to be a useful reference. Another audience is organization managers who want to make sure that trainers are adequately informed about potential training options. No matter how you plan to use this book, you will find it a valuable tool as you decide how to best meet the training, development, and performance goals of your organization. ASTD is proud to present the 27th book in the IN ACTION Series offering 13 case studies from a variety of organizations. The case study authors are diligently pursuing accountability in their areas of expertise. Through their writing, they share experiences at the forefront of applying leading-edge principles of on-the-job learning.
Author: Bryn Holmes
Publisher: SAGE
ISBN: 9781412911115
Category : Education
Languages : en
Pages : 208
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Book Description
e-Learning is now an essential component of education. Globalization, the proliferation of information available on the Internet and the importance of knowledge-based economies have added a whole new dimension to teaching and learning. As more tutors, students and trainees, and institutions adopt online learning there is a need for resources that will examine and inform this field. Using examples from around the world, the authors of e-Learning: Concepts and Practices provide an in-depth examination of past, present and future e-learning approaches, and explore the implications of applying e-learning in practice. Topics include: educational evolution enriching the learning experience learner empowerment design concepts and considerations creation of e-communities communal constructivism. This book is essential reading for anyone involved in technology enhanced learning systems, whether an expert or coming new to the area. It will be of particular relevance to those involved in teaching or studying for information technology in education degrees, in training through e-learning courses and with developing e-learning resources.
