Learning For Action

Author : Michael J. Marquardt
Publisher : Davies-Black Publishing
ISBN 13 : 9780891061243
Total Pages : 0 pages
Book Rating : 4.4X/5 ( download)

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Download or read book Action Learning in Action written by Michael J. Marquardt and published by Davies-Black Publishing. This book was released on 1999 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Author : David A. Garvin
Publisher : Harvard Business Review Press
ISBN 13 : 1633690393
Total Pages : 273 pages
Book Rating : 4.94/5 ( download)

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Download or read book Learning in Action written by David A. Garvin and published by Harvard Business Review Press. This book was released on 2003-03-25 with total page 273 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 : Catlin R. Tucker
Publisher : Corwin Press
ISBN 13 : 1506341187
Total Pages : 248 pages
Book Rating : 4.87/5 ( download)

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Download or read book Blended Learning in Action written by Catlin R. Tucker and published by Corwin Press. This book was released on 2016-09-03 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Author : Alexander Zai
Publisher : Manning Publications
ISBN 13 : 1617295434
Total Pages : 381 pages
Book Rating : 4.30/5 ( download)

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Download or read book Deep Reinforcement Learning in Action written by Alexander Zai and published by Manning Publications. This book was released on 2020-04-28 with total page 381 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 : Chris Argyris
Publisher : Jossey-Bass
ISBN 13 :
Total Pages : 538 pages
Book Rating : 4.91/5 ( download)

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Download or read book Reasoning, Learning, and Action written by Chris Argyris and published by Jossey-Bass. This book was released on 1982-05-18 with total page 538 pages. Available in PDF, EPUB and Kindle. Book excerpt: A three-pronged approach to overcoming mediocrity, presented by one of the nation's top business theorist. Replete with case examples, this book details how employee reasoning, learning and action--properly developed--can counteract the self-defeating behavior affecting many organizations.

Author : Peter Harrington
Publisher : Simon and Schuster
ISBN 13 : 1638352453
Total Pages : 558 pages
Book Rating : 4.57/5 ( download)

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Download or read book Machine Learning in Action written by Peter Harrington and published by Simon and Schuster. This book was released on 2012-04-03 with total page 558 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 : Tom Schimmer
Publisher : Solution Tree
ISBN 13 : 9781945349010
Total Pages : 0 pages
Book Rating : 4.18/5 ( download)

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Download or read book Standards-based Learning in Action written by Tom Schimmer and published by Solution Tree. This book was released on 2018 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn how to overcome the knowing-doing gap in standards-based learning systems, and move toward unpacking the standards and learning targets your students need.

Author : Emma Weber
Publisher : Kogan Page
ISBN 13 : 9780749472221
Total Pages : 0 pages
Book Rating : 4.27/5 ( download)

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Download or read book Turning Learning Into Action written by Emma Weber and published by Kogan Page. This book was released on 2014 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Improve learning transfer in your organisation with this book which provides a step-by-step methodology for facilitating genuine behavioural change and accountability back in the workplace.

Author : Marilee Sprenger
Publisher : ASCD
ISBN 13 : 0871203502
Total Pages : 132 pages
Book Rating : 4.02/5 ( download)

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Download or read book Learning and Memory written by Marilee Sprenger and published by ASCD. This book was released on 1999 with total page 132 pages. Available in PDF, EPUB and Kindle. Book excerpt: Brain research is much in the news, but what is its relevance in the classroom? Are there ways to take what brain researchers are discovering about learning and memory and apply it to the situations that educators face every day? Practicing teacher and author Marilee Sprenger tells how to do just that in this book. Sprenger has spent years studying neurological research and training other educators in brain compatible teaching methods. This background, combined with her long career as a classroom teacher, has given her priceless knowledge of what works in a multitude of classroom situations. Current brain research is as amazing as it can be confusing. This book discusses in plain terms the structure, function, and development of the human brain. The author describes the five "memory lanes"--semantic, episodic, procedural, automatic, and emotional--and tells how they function in learning and memory. She offers dozens of practical suggestions for teaching and assessing in brain-compatible ways. Bridging the gap between theory and practice, the book offers valid, usable, "What you can do on Monday" ideas to incorporate into the classroom. This is an approach to brain research that educators at all levels can apply in their daily work.

Author : David Kember
Publisher : Psychology Press
ISBN 13 : 074943113X
Total Pages : 216 pages
Book Rating : 4.36/5 ( download)

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Download or read book Action Learning and Action Research written by David Kember and published by Psychology Press. This book was released on 2000 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt: First Published in 2000. Routledge is an imprint of Taylor & Francis, an informa company.