For courses in Networking/CommunicationsMotivates readers with a top-down, layered approach to computer networkingUnique among computer networking texts, the Seventh Edition of the popular Computer Networking: A Top Down Approach builds on the author’s long tradition of teaching this complex subjec...
Networks are everywhere, from the Internet, to social networks, and the genetic networks that determine our biological existence. Illustrated throughout in full colour, this pioneering textbook, spanning a wide range of topics from physics to computer science, engineering, economics and the social s...
Apply effective learning algorithms to real-world problems using scikit-learnAbout This Book* Design and troubleshoot machine learning systems for common tasks including regression, classification, and clustering* Acquaint yourself with popular machine learning algorithms, including decision trees, ...
Ivezic, Zeljko/ Connolly, Andrew J./ Vanderplas, Jacob T./ Gray, Alexander
| Princeton Univ Pr
| 2014년 01월
128,820원 →115,930원(10% 할인) | YES포인트 5,800원(5% 지급)
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As telescopes, detectors, and computers grow ever more powerful, the volume of data at the disposal of astronomers and astrophysicists will enter the petabyte domain, providing accurate measurements for billions of celestial objects.
As one of the most comprehensive machine learning texts around, this book does justice to the field's incredible richness, but without losing sight of the unifying principles. Peter Flach's clear, example-based approach begins by discussing how a spam filter works, which gives an immediate introduct...
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