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A compendium of tools and techniques that every innovator needs The Innovator's Toolkit is an essential companion for every innovator, innovation team leader, operations manager, and corporate change agent who needs to drive organic growth. Written and presented in an easy-to-use reference format, the book helps users understand why, when, and how to apply each technique for maximum benefits and results. The fifty-plus tools and techniques in this book are organized around a framework for identifying innovation opportunities, generating new and unusual ideas, selecting the best ideas for further refinement, and implementing new solutions that better meet customer expectations. This revised second edition includes significant updates to nearly two dozen techniques Also offers several brand new techniques, including Idea Harvesting and Treatment, Seventy-six Standard Solutions, and Six Thinking Hats This updated and revised edition of The Innovator's Toolkit simply helps innovation leaders, managers, and specialists do their jobs better than ever before—giving them more confidence, greatly reducing the chance of expensive failures, and packing more practical innovation knowhow under one cover than ever before.
Many others played starring roles too: doctors like Leo Kanner, who pioneered our understanding of autism; lawyers like Tom Gilhool, who took the families' battle for education to the courtroom; scientists who sparred over how to treat autism; and those with autism, like Temple Grandin, Alex Plank, and Ari Ne'eman, who explained their inner worlds and championed the philosophy of neurodiversity. This is also a story of fierce controversies--from the question of whether there is truly an autism "epidemic," and whether vaccines played a part in it; to scandals involving "facilitated communication," one of many treatments that have proved to be blind alleys; to stark disagreements about whether scientists should pursue a cure for autism.
This book provides a conceptual understanding of deep learning algorithms. The book consists of the four parts: foundations, deep machine learning, deep neural networks, and textual deep learning. The first part provides traditional supervised learning, traditional unsupervised learning, and ensemble learning, as the preparation for studying deep learning algorithms. The second part deals with modification of existing machine learning algorithms into deep learning algorithms. The book’s third part deals with deep neural networks, such as Multiple Perceptron, Recurrent Networks, Restricted Boltzmann Machine, and Convolutionary Neural Networks. The last part provides deep learning techniques that are specialized for text mining tasks. The book is relevant for researchers, academics, students, and professionals in machine learning.
This volume was designed to identify the current limits of progress in the psychology of reading and language processing in an information processing framework. Leaders in their fields of interest, the chapter authors couple current theoretical analyses with new, formally presented experiments. The research -- cutting-edge and sometimes controversial -- reflects the prevailing analysis that language comprehension results in numerous levels of representation, including surface features, lexical properties, linguistic structures, and idea networks underlying a message as well as the situations to which a message refers. As a group, the chapters highlight the impact that input modality -- auditory or written -- has on comprehension. Finally, the studies also capture the evolution of new topic matter and ongoing debates concerning the competing paradigms, global proposals, and methods that form the foundation of the enterprise. The book presents current accounts of research on word-, sentence-, and text-processing. It will prove informative for experimental psychologists as well as investigators in cognitive science disciplines such as computer science, linguistics, and educational psychology. The book will also be very helpful to graduate students who wish to develop expertise in the psychology of language processes. For them, it collects, in a single volume, readings that are representative of progress concerning many central problems in the field. As such, it is distinct from the numerous collected volumes that concentrate on a single issue. Complete author and subject indexes facilitate effective use of the volume.
This book offers a comprehensive, contemporary and scholarly account of transcortical aphasias by combing valuable information upon cognitive neuro psychology, neuroimaging and other language functions among transcortical aphasias patients.
Rethink the Way You Think In hindsight, every great idea seems obvious. But how can you be the person who comes up with those ideas? In this revised and expanded edition of his groundbreaking Thinkertoys, creativity expert Michael Michalko reveals life-changing tools that will help you think like a genius. From the linear to the intuitive, this comprehensive handbook details ingenious creative-thinking techniques for approaching problems in unconventional ways. Through fun and thought-provoking exercises, you’ll learn how to create original ideas that will improve your personal life and your business life. Michalko’s techniques show you how to look at the same information as everyone else and see something different. With hundreds of hints, tricks, tips, tales, and puzzles, Thinkertoys will open your mind to a world of innovative solutions to everyday and not-so-everyday problems.
Instant Creativity is a collection of tried and tested techniques to encourage individuals and groups make the most of their creativity. It offers over seventy quick and simple exercises to help find fresh ideas and solutions to problems. It is designed for combating a lack of inspiration, for brainstorming ideas for new projects, creating a better understanding of an ongoing problem or for seeking a general direction. The range of ideas will help tap into the creative energies of any individual or an uninspired team. They are particularly useful for marketers, advertising professionals and product designers.
The Oxford Handbook of Human Memory provides an authoritative overview of the science of human memory, its application to clinical disorders, and its broader implications for learning and memory in real-world contexts. Organized into two volumes and eleven sections, the Handbook integrates behavioral, neural, and computational evidence with current theories of how we learn and remember. Overall, The Oxford Handbook of Human Memory documents the current state of knowledge in the field and provides a roadmap for the next generation of memory scientists, established peers, and practitioners.