Foundations Of Algorithms

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Foundations of Algorithms, Fifth Edition offers a well-balanced presentation of algorithm design, complexity analysis of algorithms, and computational complexity. Ideal for any computer science students with a background in college algebra and discrete structures, the text presents mathematical concepts using standard English and simple notation to maximize accessibility and user-friendliness….

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Foundations Of Algorithms


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Author by : Professor Emeritus Rutgers University School of Health Related Professions Craig L Scanlan
Languange Used : en
Release Date : 2014-03-31
Publisher by : Jones & Bartlett Publishers

Foundations of Algorithms, Fifth Edition offers a well-balanced presentation of algorithm design, complexity a

Foundations Of Algorithms Using C Pseudocode


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Author by : Richard E. Neapolitan
Languange Used : en
Release Date : 2004
Publisher by : Jones & Bartlett Learning

Computing, Math, & Engineering

Boosting


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Author by : Robert E. Schapire
Languange Used : en
Release Date : 2012
Publisher by : MIT Press

Boosting is an approach to machine learning based on the idea of creating a highly accurate predictor by combi

Ensemble Methods


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Author by : Zhi-Hua Zhou
Languange Used : en
Release Date : 2012-06-06
Publisher by : CRC Press

An up-to-date, self-contained introduction to a state-of-the-art machine learning approach, Ensemble Methods:

Foundations Of Algorithms


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Author by : CTI Reviews
Languange Used : en
Release Date : 2016-10-17
Publisher by : Cram101 Textbook Reviews

Facts101 is your complete guide to Foundations Of Algorithms. In this book, you will learn topics such as as t

Understanding Machine Learning


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Author by : Shai Shalev-Shwartz
Languange Used : en
Release Date : 2014
Publisher by :

"Machine learning is one of the fastest growing areas of computer science, with far-reaching applications. The

Foundations Of Statistical Algorithms


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Author by : Claus Weihs
Languange Used : en
Release Date : 2013-12-09
Publisher by : CRC Press

A new and refreshingly different approach to presenting the foundations of statistical algorithms, Foundations

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