Foundations of Algorithms

Foundations of Algorithms
Author :
Publisher : Jones & Bartlett Learning
Total Pages : 647
Release :
ISBN-10 : 9780763782504
ISBN-13 : 0763782505
Rating : 4/5 (505 Downloads)

Book Synopsis Foundations of Algorithms by : Richard E. Neapolitan

Download or read book Foundations of Algorithms written by Richard E. Neapolitan and published by Jones & Bartlett Learning. This book was released on 2011 with total page 647 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Structures & Theory of Computation


Foundations of Algorithms Related Books

Foundations of Algorithms
Language: en
Pages: 647
Authors: Richard E. Neapolitan
Categories: Computers
Type: BOOK - Published: 2011 - Publisher: Jones & Bartlett Learning

DOWNLOAD EBOOK

Data Structures & Theory of Computation
Boosting
Language: en
Pages: 544
Authors: Robert E. Schapire
Categories: Computers
Type: BOOK - Published: 2014-01-10 - Publisher: MIT Press

DOWNLOAD EBOOK

An accessible introduction and essential reference for an approach to machine learning that creates highly accurate prediction rules by combining many weak and
Ensemble Methods
Language: en
Pages: 238
Authors: Zhi-Hua Zhou
Categories: Business & Economics
Type: BOOK - Published: 2012-06-06 - Publisher: CRC Press

DOWNLOAD EBOOK

An up-to-date, self-contained introduction to a state-of-the-art machine learning approach, Ensemble Methods: Foundations and Algorithms shows how these accurat
Foundations of Statistical Algorithms
Language: en
Pages: 495
Authors: Claus Weihs
Categories: Mathematics
Type: BOOK - Published: 2013-12-09 - Publisher: CRC Press

DOWNLOAD EBOOK

A new and refreshingly different approach to presenting the foundations of statistical algorithms, Foundations of Statistical Algorithms: With References to R P
Machine Learning Refined
Language: en
Pages: 597
Authors: Jeremy Watt
Categories: Computers
Type: BOOK - Published: 2020-01-09 - Publisher: Cambridge University Press

DOWNLOAD EBOOK

An intuitive approach to machine learning covering key concepts, real-world applications, and practical Python coding exercises.