Richard McKeon – författare

Edited by Richard McKeon, with an introduction by C.D.C. Reeve   Preserved by Arabic mathematicians and canonized by Christian scholars, Aristotle’s works have shaped Western thought, science, and religion for nearly two thousand years. Richard McKeon’s The Basic Works of Aristotle—constituted out of the definitive Oxford translation and in print as a Random House hardcover for sixty years—has long been considered the best available one-volume Aristotle. Appearing in paperback at long last, this edition includes selections from the Organon, On the Heavens, The Short Physical Treatises, Rhetoric, among others, and On the Soul, On Generation and Corruption, Physics, Metaphysics, Nicomachean Ethics, Politics, and Poetics in their entirety.

Preserved by Arabic mathematicians and canonized by Christian scholars, Aristotle’s works have shaped Western thought, science, and religion for nearly two thousand years. Richard McKeon’s The Basic Works of Aristotle–constituted out of the definitive Oxford translation and in print as a Random House hardcover for sixty years–has long been considered the best available one-volume Aristotle. Appearing in paperback at long last, this edition includes selections from the Organon, On the Heavens, The Short Physical Treatises, Rhetoric, among others, and On the Soul, On Generation and Corruption, Physics, Metaphysics, Nicomachean Ethics, Politics, and Poetics in their entirety.From the Trade Paperback edition.

Learn how to implement and build a neural network with this non-technical, project-based book as your guide. As you work through the chapters, you'll build an electronics project, providing a hands-on experience in training a network. There are no prerequisites here and you won't see a single line of computer code in this book. Instead, it takes a hardware approach using very simple electronic components. You'll start off with an interesting non-technical introduction to neural networks, and then construct an electronics project. The project isn't complicated, but it illustrates how back propagation can be used to adjust connection strengths or "weights" and train a network. By the end of this book, you'll be able to take what you've learned and apply it to your own projects. If you like to tinker around with components and build circuits on a breadboard, Neural Networks for Electronics Hobbyists is the book for you. What You'll LearnGain a practical introduction to neural networksReview techniques for training networks with electrical hardware and supervised learningUnderstand how parallel processing differs from standard sequential programmingWho This Book Is ForAnyone interest in neural networks, from electronic hobbyists looking for an interesting project to build, to a layperson with no experience. Programmers familiar with neural networks but have only implemented them using computer code will also benefit from this book.

Learn how to implement and build a neural network with this non-technical, project-based book as your guide. As you work through the chapters, you''ll build an electronics project, providing a hands-on experience in training a network. There are no prerequisites here and you won''t see a single line of computer code in this book. Instead, it takes a hardware approach using very simple electronic components. You''ll start off with an interesting non-technical introduction to neural networks, and then construct an electronics project. The project isn''t complicated, but it illustrates how back propagation can be used to adjust connection strengths or "weights" and train a network. By the end of this book, you''ll be able to take what you''ve learned and apply it to your own projects. If you like to tinker around with components and build circuits on a breadboard, Neural Networks for Electronics Hobbyists is the book for you. What You''ll LearnGain a practical introduction to neural networksReview techniques for training networks with electrical hardware and supervised learningUnderstand how parallel processing differs from standard sequential programmingWho This Book Is ForAnyone interest in neural networks, from electronic hobbyists looking for an interesting project to build, to a layperson with no experience. Programmers familiar with neural networks but have only implemented them using computer code will also benefit from this book.

A new edition with the latest approaches to assessment and treatment of suicidal behaviorWith more than 800,000 deaths worldwide each year, suicide is one of the leading causes of death. The second edition of this volume incorporates the latest research, showing which empirically supported approaches to assessment, management, and treatment really help those at risk. Updates include comprehensively updated epidemiological data, the role opioid use problems, personality disorders, and trauma play in suicide, new models explaining the development of suicidal ideation, and the zero suicide model. This book aims to increase clinicians' access to empirically supported interventions for suicidal behavior, with the hope that these methods will become the standard in clinical practice.The book is invaluable as a compact how-to reference for clinicians in their daily work and as an educational resource for students and for practice-oriented continuing education. Its reader-friendly structure makes liberal use of tables, boxed clinical examples, and clinical vignettes. The book, which also addresses common obstacles in treating individuals at risk for suicide, is an essential resource for anyone working with this high-risk population.