The book features thorough integration of theory and practice, and presents theory as an essential component of practice, rather than in contrast to it. Thus, students are introduced to the analytic tools they need to write effective and efficient programs, in the context of practical and concrete applications.
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The book is the product of a lifetime of observing and participating in the changes technological advancement has brought. They are happening. We are living in the middle of the changes, and we can see the changes happening.
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A 195-page monograph by a top-1% Netflix Prize contestant. Learn about the famous machine learning competition. Improve your machine learning skills. Learn how to build recommender systems.
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This text is careful to address the interests and background not only of physicists, but of sophisticated students and researchers in mathematics, biology, engineering, computer science, and the social sciences.
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This book is a collection of tips and trick mostly published previously in the form of blog posts and tutorials, and is centered around working efficiently with memory management in .NET.
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