Learning From The Links

For the first time, a seasoned business executive and avid golfer combines these two passions to explore what makes for top performance in each field. Management consultant David K. Hurst explores compelling links relating the two activities to explain clearly what every manager who plays golf may feel only intuitively: that there is a deep systemic connection between them. For on the tee, as in the boardroom, a player can't just hit and hope -- he or she must continually think ahead, contemplate multiple scenarios, and consider the downside of every decision. And then everything depends on execution. In Learning from the Links, Hurst clarifies muddled thinking in both management and golf: he deals squarely with the challenge of implementing a game plan and seeing it through. Hurst takes to task the current "head-down" instructional model used to teach golf and management. He addresses the huge gulf between knowing what to do in a given situation and knowing how to do it. This chasm is an ever-present hazard both on the course and in an organization: it keeps people from solving their problems and achieving their goals. By examining golfers' and managers' struggles for improvement, Hurst shows us why complex systems are so hard to change and how to set about changing them -- systematically. Using the latest thinking from fields as diverse as neuroscience, artificial intelligence, art, and anthropology, Hurst's primary purpose is to help his readers make sense of their own experience -- to help them learn more effectively. His practical advice is profusely illustrated with examples from both golf and management, allowing the reader to move back and forth between his or her experiences in both activities. Part business management book, part strategy guide, these are more than just lessons for one's game or one's office: these are lessons for life.

Information from neuroscience is growing and being properly used, and misused wich makes it imperative that educators receive accurate and practical information. This book provides the accurate and practical information educators (pre-service and in-service) and caregivers serving children birth through age 8 need to know. This volume takes a practical and cautionary stance. It reminds educators to consider the ethical implications of neuroscience when it is applied to education, reviews current findings from neuroscience and reveals the dangers of oversimplification and inappropriate extensions of neuroscience into curricula. It brings together a group of authors with varied expertise writing on an array of inter-related educational topics that will help educators use neuroscience to understand and address the cognitive, emotional, social, and behavioral needs of all young children, including those with exceptionalities. They believe neuroscience can be insightful and useful to educators if applied ethically and with care. The book offers strategies educators and caregivers can use to affect children today and the adults they can become.

Get all the tools your after-school program needs for a well-balanced program. This resource provides an overview of learning and child development; offers tips and tools for selecting, planning, developing and evaluating after-school activities; and demonstrates how to link these activities to sample learning and quality standards. The book also introduces the reader to curriculum resources focusing on seven key learning areas believed to be central to comprehensive, high-quality, after-school programs.

An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives. “Written by three experts in the field, Deep Learning is the only comprehensive book on the subject.” —Elon Musk, cochair of OpenAI; cofounder and CEO of Tesla and SpaceX Deep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning. The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models. Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors.

Want to learn over 400 words in Malay in under 1 week? Of course you can also take your time, relax and learn at your pace. This book provides aremarkably effective method (3 times more than traditional learning) to learn Malaysian usingword associations from a language you already know, "English". No more boring learning by repetition or complicated grammar, you will learn words rapidly, easily and with little practice, be speaking like a native, in no time. “My aim is to provide a method of learning which anyone can use, that not only makes words easy to remember, but is presented in a manner which is engaging, comical and highly effective. It's the method I used to learn the language and love being able to share it with you” - James The book contains everything you need to speak and write Malaysian for travelling and holidays. You’ll learn the basics quickly, easily, playfully and permanently. Of course, the more you practice, the better, and with Indoglyphs, you’ll be entertained while you learn. The book is structured to get the most out of using the technique of association. With some diversions for light relief and simplicity of presentation, learning becomes a joy rather than a chore. Here’s a summary of what you’ll find… How to get the best out of the book Here you’ll learn how to use the book to best effect. What your learning style is and how to apply it to get the best out of the book. How and why it works This section explains how and why the method is so effective. See www.lingolinks.biz for more details and research results. Malaysia and its customs in brief Whenever we travel and whenever we communicate with other people, it really helps to know some of the culture so avoid those embarrassing “foot in mouth” moments. Over 400 words of Vocabulary You’ll be guided through over 400 words to learn in an order specially designed to support learning (avoid confusion). Each learning set has a section to check your learning so you can review your progress. The Language structure Yes, there is some Grammar to handle, but you won’t really notice. It’s handled in the book using terms anyone can understand and introduced as it’s needed, allowing you to concentrate on vocabulary rather than technical skills. Some useful phrases Phrases are introduced to give you practice at making sentences. This book is not intended to be a phrase book, but instead, to give you what you need to be able to make up the phrases yourself. Slang and sms speak Having a background will help you navigate the most commonly used forms and give you kudos when you trip them out like a native. Also, if you do enter the realm of texting in Malaysian, this section will help you understand some of the short forms used. Practice exercises The book has plenty of exercises for you to support you in leaning from vocab to translating simple phrases. Pronunciation and alphabet This section is useful to support you in the correct pronunciation of words, especially when reading a word that you’ve never seen before. Some common Exotic fruits There are some amazing exotic smells and tastes to be found in Malaysia. This section introduces you to some of the fantastic fruits you will find, and be able to ask for on your travels. You will learn Malaysian much faster than conventional language courses using the technique of word association. It’s easy, engaging and permanent, no more book worming with boring lists of words – Lingo Links™ sets you free to learn in your way, at your pace and with great results. www.lingolinks.biz

The significantly expanded and updated new edition of a widely used text on reinforcement learning, one of the most active research areas in artificial intelligence. Reinforcement learning, one of the most active research areas in artificial intelligence, is a computational approach to learning whereby an agent tries to maximize the total amount of reward it receives while interacting with a complex, uncertain environment. In Reinforcement Learning, Richard Sutton and Andrew Barto provide a clear and simple account of the field's key ideas and algorithms. This second edition has been significantly expanded and updated, presenting new topics and updating coverage of other topics. Like the first edition, this second edition focuses on core online learning algorithms, with the more mathematical material set off in shaded boxes. Part I covers as much of reinforcement learning as possible without going beyond the tabular case for which exact solutions can be found. Many algorithms presented in this part are new to the second edition, including UCB, Expected Sarsa, and Double Learning. Part II extends these ideas to function approximation, with new sections on such topics as artificial neural networks and the Fourier basis, and offers expanded treatment of off-policy learning and policy-gradient methods. Part III has new chapters on reinforcement learning's relationships to psychology and neuroscience, as well as an updated case-studies chapter including AlphaGo and AlphaGo Zero, Atari game playing, and IBM Watson's wagering strategy. The final chapter discusses the future societal impacts of reinforcement learning.

The few firms that gauge the results of their efforts often rely on "the happy sheet," which is usually a questionnaire where the required responses are numbered one to five, five being very happy and one being very unhappy. The options are often illustrated by five faces in various states of happiness, but they don't always result in meaningful feedback. William Spindloe, who has helped businesses throughout the world improve and measure their capabilities, provides best practices to align thinking throughout your organization to develop employees and achieve business objectives. His insights will help you: - determine where it makes sense to invest in the future; - calculate the return on investment on employee training and development; - establish an efficient process to train employees; and - employ technology to facilitate learning among employees. Grow your people and your business by mastering the lessons in The Learning Link.