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Machine Vision Algorithms And Applications

Machine Vision Algorithms and Applications, Second Edition  eBooks & eLearning

Posted by readerXXI at Nov. 9, 2018
Machine Vision Algorithms and Applications, Second Edition

Machine Vision Algorithms and Applications, Second Edition
by Carsten Steger and Markus Ulrich
English | 2018 | ISBN: 3527413650 | 498 Pages | ePUB | 20 MB

Computer Vision: Algorithms and Applications (Repost)  eBooks & eLearning

Posted by step778 at May 23, 2017
Computer Vision: Algorithms and Applications (Repost)

Richard Szeliski, "Computer Vision: Algorithms and Applications"
2008 | pages: 655 | ISBN: 1848829345 | PDF | 14,1 mb

Machine Learning: Algorithms and Applications  eBooks & eLearning

Posted by First1 at Aug. 13, 2017
Machine Learning: Algorithms and Applications

Machine Learning: Algorithms and Applications by Mohssen Mohammed, Muhammad Badruddin Khan, Eihab Bashier Mohammed Bashier
English | August 19th, 2016 | ASIN: B01KORWQH8, ISBN: 1498705383 | 227 pages | AZW3 | 7.36 MB

Machine learning, one of the top emerging sciences, has an extremely broad range of applications. However, many books on the subject provide only a theoretical approach, making it difficult for a newcomer to grasp the subject material.

Computer Vision: Algorithms and Applications (Texts in Computer Science) (Repost)  eBooks & eLearning

Posted by leonardo78 at Aug. 4, 2017
Computer Vision: Algorithms and Applications (Texts in Computer Science) (Repost)

Computer Vision: Algorithms and Applications (Texts in Computer Science) by Richard Szeliski
Language: English | 2010 | ISBN: 1848829345 | 812 pages | PDF | 35,4 MB

Computer Vision: Algorithms and Applications explores the variety of techniques commonly used to analyze and interpret images.

Machine Learning : Algorithms and Applications  eBooks & eLearning

Posted by readerXXI at July 27, 2017
Machine Learning : Algorithms and Applications

Machine Learning : Algorithms and Applications
by Mohssen Mohammed and Muhammad Badruddin Khan
English | 2017 | ISBN: 1498705383 | 227 Pages | PDF | 5.1 MB

Machine Learning: Algorithms and Applications  eBooks & eLearning

Posted by arundhati at Dec. 8, 2016
Machine Learning: Algorithms and Applications

Mohssen Mohammed, Muhammad Badruddin Khan, "Machine Learning: Algorithms and Applications"
2016 | ISBN-10: 1498705383 | 226 pages | EPUB | 6 MB

Machine Learning Refined: Foundations, Algorithms, and Applications  eBooks & eLearning

Posted by AlenMiler at Dec. 17, 2016
Machine Learning Refined: Foundations, Algorithms, and Applications

Machine Learning Refined: Foundations, Algorithms, and Applications by Jeremy Watt
English | 8 Sept. 2016 | ISBN: 1107123526 | 298 Pages | AZW3/MOBI/EPUB/PDF (conv) | 30.27 MB

Providing a unique approach to machine learning, this text contains fresh and intuitive, yet rigorous, descriptions of all fundamental concepts necessary to conduct research, build products, tinker, and play.

Machine Learning Refined: Foundations, Algorithms, and Applications (repost)  eBooks & eLearning

Posted by hill0 at April 20, 2019
Machine Learning Refined: Foundations, Algorithms, and Applications (repost)

Machine Learning Refined: Foundations, Algorithms, and Applications by Jeremy Watt
English | 2016 | ISBN: 1107123526 | 298 Pages | EPUB | 6 MB
Deep Learning By Example : A Hands-on Guide to Implementing Advanced Machine Learning Algorithms and Neural Networks

Deep Learning By Example : A Hands-on Guide to Implementing
Advanced Machine Learning Algorithms and Neural Networks

by Ahmed Menshawy
English | 2018 | ISBN: 1788399900 | 442 Pages | PDF/ePUB | 8.7/12 MB

Solving Polynomial Equations: Foundations, Algorithms, and Applications  eBooks & eLearning

Posted by AvaxGenius at May 20, 2018
Solving Polynomial Equations: Foundations, Algorithms, and Applications

Solving Polynomial Equations: Foundations, Algorithms, and Applications By Manuel Bronstein
English | PDF | 2005 | 433 Pages | ISBN :3540243267 | 4.07 MB

The subject of this book is the solution of polynomial equations, that is, s- tems of (generally) non-linear algebraic equations. This study is at the heart of several areas of mathematics and its applications. It has provided the - tivation for advances in di?erent branches of mathematics such as algebra, geometry, topology, and numerical analysis. In recent years, an explosive - velopment of algorithms and software has made it possible to solve many problems which had been intractable up to then and greatly expanded the areas of applications to include robotics, machine vision, signal processing, structural molecular biology, computer-aided design and geometric modelling, as well as certain areas of statistics, optimization and game theory, and b- logical networks.