Although interest in machine learning has reached a high point, lofty expectations often scuttle projects before they get very far. How can machine learning-especially deep neural networks-make a real difference in your organization? This hands-on guide not only provides the most practical information available on the subject, but also helps you get started building efficient deep learning networks. Authors Adam Gibson and Josh Patterson provide theory on deep learning before introducing thei...

This book identifies the mindset, processes, and actual behaviors that contribute to successful reform efforts and provide school leaders with concrete tools enabling them to be more effective.

Written using clear language this book shows how health promotion can be implemented while drawing on the main theories, models and evidence that inform practice. The book covers essential topics like lifestyle changes, health screening and patient education.

This trusted practitioner resource and course text is grounded in James Morrison's experience with more than 15,000 mental health patients. Morrison provides a complete framework for interviewing adult patients about their current symptoms, personal and family history, mental status, behavioral risks, and other relevant issues.

The founding text of today's billion dollar coaching industry, Coaching for Performance remains the world's bestselling coaching book. This major new edition is designed to stay ahead of the profession with practical visuals and new material developed by the leading international performance consultants.

From the New York Times bestselling author of Alice comes this dark retelling of J.M Barrie's Peter Pan. There is one version of my story that everyone knows. And then there is the truth. Once I loved a boy called Peter Pan.

This engaging and clearly written textbook/reference provides a must-have introduction to the rapidly emerging interdisciplinary field of data science. It focuses on the principles fundamental to becoming a good data scientist and the key skills needed to build systems for collecting, analyzing, and interpreting data. The Data Science Design Manual is a source of practical insights that highlights what really matters in analyzing data, and provides an intuitive understanding of how these core...

Consciousness, 'the last great mystery for science', remains a hot topic. How can a physical brain create our experience of the world? What creates our identity? Do we really have free will? Could consciousness itself be an illusion? Exciting new developments in brain science are continuing the debates on these issues, and the field has now expanded to include biologists, neuroscientists, psychologists, and philosophers. This controversial book clarifies the potentially confusing arguments, a...

Computer Vision: Principles, Algorithms, Applications, Learning (previously entitled Computer and Machine Vision) clearly and systematically presents the basic methodology of computer vision, covering the essential elements of the theory while emphasizing algorithmic and practical design constraints. This fully revised fifth edition has brought in more of the concepts and applications of computer vision, making it a very comprehensive and up-to-date text suitable for undergraduate and graduat...

Mann's Introductory Statistics is written for a one or two semester first course in applied statistics and is intended for students who do not have a strong background in mathematics. The only prerequisite is knowledge of elementary algebra. Introductory Statistics is known for its realistic examples and exercises, clarity and brevity of presentation, and soundness of pedagogical approach.