Bayesian Signal Processing Second

Bayesian Signal Processing: Classical, Modern, and Particle Filtering Methods,  2nd edition

James V. Candy, "Bayesian Signal Processing: Classical, Modern, and Particle Filtering Methods, 2nd edition"
English | ISBN: 1119125456 | 2016 | 640 pages | PDF | 19 MB

Python Data Analysis - Second Edition  eBooks & eLearning

Posted by AlenMiler at March 31, 2017
Python Data Analysis - Second Edition

Python Data Analysis - Second Edition by Armando Fandango
English | 27 Mar. 2017 | ASIN: B01MQYK5G2 | 330 Pages | AZW3 | 5.14 MB

Chemometrics : Data Driven Extraction for Science, Second Edition  eBooks & eLearning

Posted by readerXXI at Aug. 4, 2018
Chemometrics : Data Driven Extraction for Science, Second Edition

Chemometrics : Data Driven Extraction for Science, Second Edition
by Richard G. Brereton
English | 2018 | ISBN: 1118904664 | 464 Pages | ePUB | 20 MB

IPython Interactive Computing and Visualization Cookbook - Second Edition  eBooks & eLearning

Posted by Grev27 at Feb. 22, 2018
IPython Interactive Computing and Visualization Cookbook - Second Edition

Cyrille Rossant, "IPython Interactive Computing and Visualization Cookbook - Second Edition"
English | ISBN: 1785888633 | 2018 | EPUB | 548 pages | 39 MB

Python Data Analysis - Second Edition  eBooks & eLearning

Posted by readerXXI at July 13, 2018
Python Data Analysis - Second Edition

Python Data Analysis - Second Edition
by Armando Fandango
English | 2017 | ISBN: 1787127486 | 320 Pages | True PDF | 8.1 MB

Chemometrics: Data Driven Extraction for Science, 2nd edition  eBooks & eLearning

Posted by roxul at March 26, 2018
Chemometrics: Data Driven Extraction for Science, 2nd edition

Richard G. Brereton, "Chemometrics: Data Driven Extraction for Science, 2nd edition"
English | ISBN: 1118904664 | 2018 | 464 pages | PDF | 14 MB

Introducing Monte Carlo Methods with R  eBooks & eLearning

Posted by AvaxGenius at Sept. 6, 2019
Introducing Monte Carlo Methods with R

Introducing Monte Carlo Methods with R by Christian Robert
English | PDF | 2010 | 297 Pages | ISBN : 1441915753 | 8.81 MB

Computational techniques based on simulation have now become an essential part of the statistician's toolbox. It is thus crucial to provide statisticians with a practical understanding of those methods, and there is no better way to develop intuition and skills for simulation than to use simulation to solve statistical problems. Introducing Monte Carlo Methods with R covers the main tools used in statistical simulation from a programmer's point of view, explaining the R implementation of each simulation technique and providing the output for better understanding and comparison.

Time Series: Modeling, Computation, and Inference, 2nd Edition  eBooks & eLearning

Posted by yoyoloit at Feb. 11, 2024
Time Series: Modeling, Computation, and Inference, 2nd Edition

Time Series; Modeling, Computation, and Inference; Second Edition
by Raquel Prado

English | 2021 | ISBN: 1498747027 | 473 pages | True PDF | 72.11 MB

Mathematical foundations of computer networking  eBooks & eLearning

Posted by insetes at April 8, 2019
Mathematical foundations of computer networking

Mathematical foundations of computer networking By Srinivasan Keshav
2012 | 493 Pages | ISBN: 0321792106 | PDF | 3 MB

Information theoretic learning: Renyi's entropy and kernel perspectives  eBooks & eLearning

Posted by insetes at July 23, 2019
Information theoretic learning: Renyi's entropy and kernel perspectives

Information theoretic learning: Renyi's entropy and kernel perspectives By Jose C. Principe (auth.)
2010 | 448 Pages | ISBN: 1441915699 | PDF | 6 MB