A First Course in Machine Learning

A First Course in Machine Learning, 2nd Edition  eBooks & eLearning

Posted by ksveta6 at Feb. 21, 2017
A First Course in Machine Learning, 2nd Edition

A First Course in Machine Learning, Second Edition (Machine Learning & Pattern Recognition) by Simon Rogers, Mark Girolami
2016 | ISBN: 1498738486 | English | 427 pages | PDF | 161 MB

A First Course in Machine Learning (Repost)  eBooks & eLearning

Posted by bookwarrior at Sept. 15, 2015
A First Course in Machine Learning (Repost)

A First Course in Machine Learning By Simon Rogers, Mark Girolami
2011 | 305 Pages | ISBN: 1439824142 | PDF | 7 MB

A First Course in Machine Learning  eBooks & eLearning

Posted by Grev27 at July 17, 2015
A First Course in Machine Learning

Simon Rogers, Mark Girolami, "A First Course in Machine Learning"
English | ISBN: 1439824142 | 2011 | EPUB | 305 pages | 7,4 MB

A First Course in Machine Learning  eBooks & eLearning

Posted by insetes at March 3, 2015
A First Course in Machine Learning

A First Course in Machine Learning By Simon Rogers, Mark Girolami
2011 | 305 Pages | ISBN: 1439824142 | PDF | 7 MB

A First Course in Functional Analysis  eBooks & eLearning

Posted by hill0 at March 23, 2017
A First Course in Functional Analysis

A First Course in Functional Analysis by Orr Moshe Shalit
English | 17 Mar. 2017 | ISBN: 1498771610 | 256 Pages | PDF | 23.34 MB

Written as a textbook, A First Course in Functional Analysis is an introduction to basic functional analysis and operator theory, with an emphasis on Hilbert space methods.

A First Course in Rings and Ideals  eBooks & eLearning

Posted by Sangviniy at March 23, 2017
A First Course in Rings and Ideals

A First Course in Rings and Ideals by David M. Burton
English | Sep. 1, 1970 | ISBN: 0201007312 | 309 Pages | PDF | 13.62 MB

This volume is designed to serve as an introduction to the basic ideas and techniques of ring theory. It is intended to be an expository textbook, rather than a treatise on the subject. The mathematical background required for a proper understanding of the contents is not extensive. We assume that the average reader has had some prior contact with abstract algebra but is still relatively inexperienced in this respect.

A First Course in Linear Algebra: With Concurrent Examples  eBooks & eLearning

Posted by Sangviniy at March 23, 2017
A First Course in Linear Algebra: With Concurrent Examples

A First Course in Linear Algebra: With Concurrent Examples by Alan G. Hamilton
English | Sep. 25, 1987 | ISBN: 0521310415 | 160 Pages | PDF | 949.72 KB

This is a short, readable introduction to basic linear algebra, as usually encountered in a first course. The development of the subject is integrated with a large number of worked examples that illustrate the ideas and methods.

The Book of R: A First Course in Programming and Statistics  eBooks & eLearning

Posted by libr at March 22, 2017
The Book of R: A First Course in Programming and Statistics

The Book of R: A First Course in Programming and Statistics by Tilman M. Davies
English | 2016 | ISBN: 1593276516 | 832 pages | PDF + EPUB | 33 + 11 MB

A First Course in Combinatorial Optimization  eBooks & eLearning

Posted by Jeembo at March 14, 2017
A First Course in Combinatorial Optimization

A First Course in Combinatorial Optimization by Jon Lee
English | 2004 | ISBN: 0521811511 | 228 Pages | DJVU | 3.4 MB

Jon Lee focuses on key mathematical ideas leading to useful models and algorithms, rather than on data structures and implementation details, in this introductory graduate-level text for students of operations research, mathematics, and computer science.

A First Course in Numerical Analysis: Second Edition  eBooks & eLearning

Posted by leonardo78 at March 10, 2017
A First Course in Numerical Analysis: Second Edition

A First Course in Numerical Analysis: Second Edition by Anthony Ralston, Philip Rabinowitz
2001 | ISBN: 048641454X | 624 pages | DJVU | 4,9 MB

This outstanding text by two well-known authors treats numerical analysis with mathematical rigor, but presents relatively few theorems and proofs. Oriented toward computer solutions of problems, it stresses errors in methods and computational efficiency, and it compares different solutions to the same problem.