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.

Download or read book Narrative Coaching written by David B. Drake and published by CNC Press. This book was released on 2015-06-01 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the definitive book by the founder of the field of narrative coaching. It includes the core theoretical foundations, key principles and central practices that make up this unique body of work. Narrative coaching is recognized internationally as a distinct approach and is included in most major coaching anthologies. The author has written over 40 publications on narratives and coaching and is recognized as a thought leader in this profession.

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 253 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

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

Download or read book Deep Reinforcement Learning in Action written by Alexander Zai and published by Manning. 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

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.

Download or read book Visible Learning into Action written by John Hattie and published by Routledge. This book was released on 2015-10-30 with total page 331 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recently at the Visible Learning Conference, Professor John Hattie stood up in his opening address and said, "I’m looking at you all and thinking ‘What if I got this wrong?’" I feel the same way when educators ask to visit and I always end up in the same place – that Keilor Views is a living, breathing example that he didn’t. -- Charles Branciforte, Principal of Keilor Views Primary School, Melbourne, Australia Visible Learning into Action takes the next step in the evolving Visible Learning story. It translates one of the biggest and most critically acclaimed education research projects ever undertaken into case studies of actual success stories, implementing John Hattie’s ideas in the classrooms of schools all around the world. The evidenced case studies presented in this book describe the Visible Learning journeys of fifteen schools from Australia, USA, Hong Kong, UK, Sweden, New Zealand and Norway and are representative of the VL international community of schools in their quest to ensure all of their students exceed their potential for academic success. Each school’s story will inform and inspire, bringing to life the discussions, actions and reflections from leaders, teachers, students and families. This book features extensive, interactive appendices containing study guide questions to encourage critical thinking, annotated endnotes with recommendations for further reading and links to YouTube and relevant websites. Drawing on the latest research into the major principles and strategies of learning, this essential resource is structured into five parts: Know thy impact; Effective feedback; Visible learners; Inspired and passionate teachers; The Visible Learning School. Visible Learning into Action is aimed at any student, teacher or parent requiring an up-to-date commentary on how research into human learning processes can inform our teaching and what goes on in our schools.

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.

Download or read book Action Learning in Practice written by Mike Pedler and published by Gower Publishing, Ltd.. This book was released on 2011 with total page 486 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

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.

Download or read book The Action Learning Handbook written by Anne Brockbank and published by Routledge. This book was released on 2003-12-16 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: Action learning is a continued process of learning and reflection with the support of a group of colleagues, working on real issues. The action learning method is increasingly used to bring innovation to many different fields of work. The principles of action learning can achieve improvement and transformation in a wide range of applications and disciplines, including professional training and educational contexts. This book is a comprehensive guide to action learning which maintains an accessible, practical focus throughout. It is packed with useful resources, including case studies and ideas for workshop sessions. Key topics covered include: * action learning in professional and educational settings * setting up, facilitating and evaluating an action learning programme * the roles and skills required to practice successfully * use of action learning in relation to the individual, the group and the organization * the role of reflection; and action learning theory. Newcomers to the area of action learning will find this an essential introduction which can be put to use straight away, while more experienced practitioners seeking a deeper understanding will value the thorough analysis of action learning theory.

Download or read book Lifelong Learning in Action written by Norman Longworth and published by Routledge. This book was released on 2003-12-16 with total page 208 pages. Available in PDF, EPUB and Kindle. Book excerpt: Since the concept of lifelong learning came to prominence much excellent work has been undertaken but, as Professor Longworth's new book shows, major change in some areas is still needed if the concept of learning from cradle to grave is to become a true reality. Using his unique vantage point from consulting with schools, universities, local, governmental and global authorities, Professor Longworth brings the development of lifelong learning bang up-to-date with a complete survey of the principles of lifelong learning including examples from around the world and crucial information on the impact of lifelong learning on 21st century schools.

Download or read book Learning Focused Leadership in Action written by Michael S. Knapp and published by Routledge. This book was released on 2014-03-21 with total page 255 pages. Available in PDF, EPUB and Kindle. Book excerpt: In an educational context where school and district performance is of increasing focus, it’s essential for leaders at all levels of the educational system to focus on improving student performance. This volume zeros in on a promising set of strategies and practices for all leaders to motivate, support, and sustain learning in contemporary schools. Learning-Focused Leadership in Action explores what it means for educational leadership to be "learning-focused," what this looks like in practice at both the school and district level, and how such leadership changes can be set in motion. Drawing on extensive case study research in schools and districts that are making progress on learning improvement, this volume explores how leaders at all levels of the educational system can productively seek to improve the quality of learning opportunities and student performance, no matter how challenging the circumstances.

Download or read book Machine Learning Engineering in Action written by Ben Wilson and published by Simon and Schuster. This book was released on 2022-05-17 with total page 879 pages. Available in PDF, EPUB and Kindle. Book excerpt: Field-tested tips, tricks, and design patterns for building machine learning projects that are deployable, maintainable, and secure from concept to production. In Machine Learning Engineering in Action, you will learn: Evaluating data science problems to find the most effective solution Scoping a machine learning project for usage expectations and budget Process techniques that minimize wasted effort and speed up production Assessing a project using standardized prototyping work and statistical validation Choosing the right technologies and tools for your project Making your codebase more understandable, maintainable, and testable Automating your troubleshooting and logging practices Ferrying a machine learning project from your data science team to your end users is no easy task. Machine Learning Engineering in Action will help you make it simple. Inside, you'll find fantastic advice from veteran industry expert Ben Wilson, Principal Resident Solutions Architect at Databricks. Ben introduces his personal toolbox of techniques for building deployable and maintainable production machine learning systems. You'll learn the importance of Agile methodologies for fast prototyping and conferring with stakeholders, while developing a new appreciation for the importance of planning. Adopting well-established software development standards will help you deliver better code management, and make it easier to test, scale, and even reuse your machine learning code. Every method is explained in a friendly, peer-to-peer style and illustrated with production-ready source code. About the technology Deliver maximum performance from your models and data. This collection of reproducible techniques will help you build stable data pipelines, efficient application workflows, and maintainable models every time. Based on decades of good software engineering practice, machine learning engineering ensures your ML systems are resilient, adaptable, and perform in production. About the book Machine Learning Engineering in Action teaches you core principles and practices for designing, building, and delivering successful machine learning projects. You'll discover software engineering techniques like conducting experiments on your prototypes and implementing modular design that result in resilient architectures and consistent cross-team communication. Based on the author's extensive experience, every method in this book has been used to solve real-world projects. What's inside Scoping a machine learning project for usage expectations and budget Choosing the right technologies for your design Making your codebase more understandable, maintainable, and testable Automating your troubleshooting and logging practices About the reader For data scientists who know machine learning and the basics of object-oriented programming. About the author Ben Wilson is Principal Resident Solutions Architect at Databricks, where he developed the Databricks Labs AutoML project, and is an MLflow committer.

Download or read book Fiorella Mayer s Generative Learning in Action written by Mark Enser and published by John Catt. This book was released on 2020-09-18 with total page 117 pages. Available in PDF, EPUB and Kindle. Book excerpt: Generative Learning in Action helps to answer the question: which activities can students carry out to create meaningful learning? It does this by considering how we, as teachers, can implement the eight strategies for generative learning set out in the work of Fiorella and Mayer in their seminal 2015 work Learning as a Generative Activity: Eight Learning Strategies that Promote Learning. At a time when a great deal of attention has been paid to the teaching and learning from the perspective of effective instruction, Generative Learning looks at the flip side of coin and considers what is happening in the minds of the learner. This book takes a teachers-eye view of a range of theories of learning and keeps their application to the classroom firmly in mind through the use of case studies and reference to day to day practice. Generative Learning in Action also discusses the key considerations and potential limitations of each of the strategies, as well as how you could implement these in your own practice and more widely across a school. The authors bring a wealth of experience to this topic. Zoe Enser was a classroom English teacher for over 20 years as well as head of department and school leader in charge of improving teaching and learning. She is now lead specialist advisor for Kent with The Education People. Mark Enser has been a geography teacher for the best part of two decades as well as a head of department and research lead. He is the author of Making Every Geography Lesson Count and Teach Like Nobody's Watching as well as a TES columnist.

Download or read book Blended Learning in Grades 4 12 written by Catlin R. Tucker and published by Corwin Press. This book was released on 2012-06-13 with total page 273 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book comes at the right time with answers for teachers, principals, and schools who want to be on the cutting edge of the effective use of technology, the internet, and teacher pedagogy.

Download or read book Action Learning written by Ian McGill and published by Psychology Press. This book was released on 2001 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt: First Published in 2001. Routledge is an imprint of Taylor & Francis, an informa company.