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Enterprise Learning In Action
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Book Synopsis Enterprise Learning in Action by : Dale Shuttleworth
Download or read book Enterprise Learning in Action written by Dale Shuttleworth and published by Routledge. This book was released on 2002-11 with total page 239 pages. Available in PDF, EPUB and Kindle. Book excerpt: First Published in 2004. Routledge is an imprint of Taylor & Francis, an informa company.
Book Synopsis Learning in Action by : David A. Garvin
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.
Book Synopsis Deep Reinforcement Learning in Action by : Alexander Zai
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
Book Synopsis The SAGE Handbook of E-learning Research by : Caroline Haythornthwaite
Download or read book The SAGE Handbook of E-learning Research written by Caroline Haythornthwaite and published by SAGE. This book was released on 2016-05-09 with total page 754 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Book Synopsis Action Learning in Practice by : Mike Pedler
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.
Book Synopsis Creating Cultures of Thinking by : Ron Ritchhart
Download or read book Creating Cultures of Thinking written by Ron Ritchhart and published by John Wiley & Sons. This book was released on 2015-02-23 with total page 391 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Machine Learning in Action by : Peter Harrington
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 E-Learning written by Bryn Holmes and published by SAGE. This book was released on 2006-06 with total page 208 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Lifelong Learning in Action by : Norman Longworth
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.
Book Synopsis Developing Innovation in Online Learning by : Maggie McPherson
Download or read book Developing Innovation in Online Learning written by Maggie McPherson and published by Psychology Press. This book was released on 2004 with total page 168 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces action research as a method of developing e-learning modules and courses. It covers both the theory and practice of applying action research principles to develop online learning.
Book Synopsis Implementing On-the-Job Learning (In Action Case Study Series) by : Jack J. Phillips
Download or read book Implementing On-the-Job Learning (In Action Case Study Series) written by Jack J. Phillips and published by Association for Talent Development. This book was released on 2023-05-26 with total page 208 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Machine Learning Engineering in Action by : Ben Wilson
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.
Book Synopsis Learning in the Fast Lane by : Chester E. Finn, Jr.
Download or read book Learning in the Fast Lane written by Chester E. Finn, Jr. and published by Princeton University Press. This book was released on 2021-05-11 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: "More than three million high-school students take five million Advanced Placement exams each May, yet remarkably little is known about how this sixty-year-old, privately-run program, has become one of U.S. education's greatest successes. From its mid-century origin as a tiny option for privileged kids from posh schools, AP has also emerged as a booster rocket into college for hundreds of thousands of disadvantaged youngsters. It challenges smart kids, affects school ratings, affords rewarding classroom challenges to great teachers, tunes up entire schools, and draws vast support from philanthropists, education reformers and policymakers. AP stands as America's foremost source of college-level academics for high school pupils. Praised for its rigor and integrity, more than 22,000 schools now offer some-or many-of its thirty-eight subjects, from Latin to calculus, art to computer science. But challenges abound today, as AP faces stiffening competition (especially dual credit), curriculum wars, charges of elitism, misgivings by elite schools and universities, and the arduous work of infusing rigor into schools that lack it and academic success into young people unaccustomed to it. In today's polarized climate, can Advanced Placement maintain its lofty standards and overcome the hostility, politics and despair that have sunk so many other bold education ventures? Advanced Placement: The Unsung Success Story of American Education is a unique account-richly documented and thoroughly readable-of the AP program in all its strengths and travails, written by two of America's most respected education analysts"--
Book Synopsis Self-Determined Learning by : Stewart Hase
Download or read book Self-Determined Learning written by Stewart Hase and published by A&C Black. This book was released on 2013-09-26 with total page 339 pages. Available in PDF, EPUB and Kindle. Book excerpt: Heutagogy, or self-determined learning, redefines how we understand learning and provides some exciting opportunities for educators. It is a novel approach to educational practice, drawing on familiar concepts such as constructivism, capability, andragogy and complexity theory. Heutagogy is also supported by a substantial and growing body of neuroscience research. Self-Determined Learning explores how heutagogy was derived, and what this approach to learning involves, drawing on recent research and practical applications. The editors draw together contributions from educators and practitioners in different fields, illustrating how the approach can been used and the benefits its use has produced. The subjects discussed include: the nature of learning, heutagogy in the classroom, flexible curriculum, assessment, e-learning, reflective learning, action learning and research, and heutagogy in professional practice settings.
Book Synopsis Teaching with e-learning in the Lifelong Learning Sector by : Chris Hill
Download or read book Teaching with e-learning in the Lifelong Learning Sector written by Chris Hill and published by Learning Matters. This book was released on 2008-01-04 with total page 125 pages. Available in PDF, EPUB and Kindle. Book excerpt: This new edition (previously entitled "Teaching Using Information and Learning Technology in Further Education") is an up to date resource for trainee and qualified teachers within the Lifelong Learning Sector. Focusing on information and learning technology as a toolkit for resourceful teachers, it includes reflective activities, teaching strategies and teaching tips throughout, along with ideas for applying these to the reader′s own context. In this new edition, all material has been fully updated to reflect the latest changes in technology and its applications, and each chapter in the book is referenced to the new LLUK Standards.
Book Synopsis Cases on Worldwide E-Commerce: Theory in Action by : Raisinghani, Mahesh S.
Download or read book Cases on Worldwide E-Commerce: Theory in Action written by Raisinghani, Mahesh S. and published by IGI Global. This book was released on 2001-07-01 with total page 273 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cases on Worldwide E-Commerce: Theory in Action provides detailed case studies of opportunities and challenges in worldwide e-commerce as the Internet economy and globalization trends erase the traditional IT and geographical boundaries. The cases, based on real life experience in e-commerce will demonstrate situations and challenges for a world in which IT is no longer restricted by corporate walls.
Book Synopsis ABC of Action Learning by : Reg Revans
Download or read book ABC of Action Learning written by Reg Revans and published by Gower Publishing, Ltd.. This book was released on 2012-09-28 with total page 155 pages. Available in PDF, EPUB and Kindle. Book excerpt: Reg Revans based his theories of Action Learning on 30 years of work and observation. This revised and updated reissue of the definitive text, ABC of Action Learning, is a clear, easily-read primer for anyone wishing to learn about and apply his methods. It offers a succinct, practical guide to integrating action learning into every-day situations, and enhancing the practical and managerial skills of the workforce.
