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Containing numerous algorithms and major theorems, this step-by-step guide covers the fundamentals of kernel-based learning theory. Including over two hundred... Læs mere
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Pattern recognition is the construction of algorithms to decode and recognize images or data patterns in so-called random data. It is a vital and growing field with applications... Læs mere
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Essential reading for students and practitioners, this book focuses on practical algorithms used to solve key problems in data mining, with exercises suitable for students... Læs mere
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This textbook for senior undergraduate and graduate students offers comprehensive coverage, an algorithmic perspective, and a wealth... Læs mere
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Recent years have seen an explosion in the volume and variety of data collected in scientific disciplines from astronomy to genetics and industrial... Læs mere
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An intuitive approach to machine learning detailing the key concepts needed to build products and conduct research. Featuring color... Læs mere
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The data sciences are moving fast, and probabilistic methods are both the foundation and a driver. This highly motivated... Læs mere
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Bemærk: Kan ikke leveres før jul.
Shankar Sastry is Dean of the College of Engineering, Professor of Electrical Engineering and Computer Science and Professor of Bioengineering at the University of California, Berkeley.
Bemærk: Kan ikke leveres før jul.
This textbook explores the different aspects of data mining from the fundamentals to the complex data types and their applications, capturing the wide diversity of problem domains for data mining issues.
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This self-contained textbook introduces all the relevant mathematical concepts needed to understand and use machine learning methods, with a minimum of prerequisites.... Læs mere
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A comprehensive overview of high-performance pattern recognition techniques and approaches to Computational Molecular Biology This book surveys the developments of techniques and approaches on pattern recognition related to Computational Molecular Biology.