Learning in Action

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Release : 2003-03-25
Genre : Business & Economics
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Book Rating : 393/5 ( reviews)

Learning in Action - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Learning in Action write by David A. Garvin. This book was released on 2003-03-25. Learning in Action available in PDF, EPUB and Kindle. 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.

Narrative Coaching

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Release : 2017-12-05
Genre : Business & Economics
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Book Rating : 312/5 ( reviews)

Narrative Coaching - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Narrative Coaching write by David B. Drake. This book was released on 2017-12-05. Narrative Coaching available in PDF, EPUB and Kindle. REAL CHANGE IN REAL TIME--THE ULTIMATE GUIDE TO WORKING WITH PEOPLE'S STORIES IN COACHING This is a rare book; it is grounded in both a deep academic rigor and a deep personal understanding of how people change. It is a treasure chest of information and insights based in over twenty years of experience. It will enable you to get to the crux of people's issues in less time and help them make significant shifts in the moment. This book is an indispensable resource for anyone who works with people's stories and wants to develop themselves so they have more impact. The tools and models are presented in simple and clear language. However, there is a depth here that offers a limitless guide for your learning. Narrative Coaching is timely because it works at the level of identities, addresses the collective narratives that shape our stories, and expands the roles and modalities we can use to bring about transformational change with individuals and teams. What is new in this edition: It goes deeper into attachment theory and applied mindfulness It offers design thinking as a framework for adult development It shows how change is a naturally human and integrative process It offers more examples and cases, e.g., how to coach without goals This book will both challenge you and inspire you to think in new ways about what is possible in your life and in your practice.

Blended Learning in Action

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Release : 2016-09-03
Genre : Education
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Book Rating : 187/5 ( reviews)

Blended Learning in Action - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Blended Learning in Action write by Catlin R. Tucker. This book was released on 2016-09-03. Blended Learning in Action available in PDF, EPUB and Kindle. Shift to blended learning to transform education Blended learning has the power to reinvent education, but the transition requires a new approach to learning and a new skillset for educators. Loaded with research and examples, Blended Learning in Action demonstrates the advantages a blended model has over traditional instruction when technology is used to engage students both inside the classroom and online. Readers will find: Breakdowns of the most effective classroom setups for blended learning Tips for leaders Ideas for personalizing and differentiating instruction using technology Strategies for managing devices in schools Questions to facilitate professional development and deeper learning

Action Learning in Action

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Release : 1999
Genre : Business & Economics
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Book Rating : 243/5 ( reviews)

Action Learning in Action - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Action Learning in Action write by Michael J. Marquardt. This book was released on 1999. Action Learning in Action available in PDF, EPUB and Kindle. Marquardt brings together the six essential elements with realistic advice, practical wisdom, and such tools as checklists and a comprehensive glossary of terms. Readers can learn to leverage action learning to solve problems, develop employees, enhance personal growth, and create organizational learning.

Deep Reinforcement Learning in Action

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Release : 2020-04-28
Genre : Computers
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Book Rating : 434/5 ( reviews)

Deep Reinforcement Learning in Action - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Deep Reinforcement Learning in Action write by Alexander Zai. This book was released on 2020-04-28. Deep Reinforcement Learning in Action available in PDF, EPUB and Kindle. 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