Gaussian Processes For Machine Learning

Bayesian Reasoning and Gaussian Processes for Machine Learning Applications  eBooks & eLearning

Posted by yoyoloit at March 23, 2022
Bayesian Reasoning and Gaussian Processes for Machine Learning Applications

Bayesian Reasoning and Gaussian Processes for Machine Learning Applications
by K, Hemachandran;Tayal, Shubham;George, Preetha Mary;Singla, Parveen;Kose, Utku;

English | 2022 | ISBN: ‎ 0367758474 | 149 pages | True PDF EPUB | 17.29 MB

Gaussian Processes for Machine Learning  eBooks & eLearning

Posted by step778 at March 14, 2019
Gaussian Processes for Machine Learning

Carl Edward Rasmussen, Christopher K. I. Williams, "Gaussian Processes for Machine Learning"
2005 | pages: 259 | ISBN: 026218253X | DJVU | 2,8 mb

Gaussian Processes for Machine Learning (Adaptive Computation and Machine Learning)  eBooks & eLearning

Posted by ginofdagame at Oct. 5, 2007

Gaussian Processes for Machine Learning (Adaptive Computation and Machine Learning)
Publisher: The MIT Press | Author(s): Christopher K. I. Williams | ISBN:026218253X | Release Date: 01 December 2005 | 2.63 MB | Pages: 266 | deposifiles

Gaussian processes (GPs) provide a principled, practical, probabilistic approach to learning in kernel machines. GPs have received increased attention in the machine-learning community over the past decade, and this book provides a long-needed systematic and unified treatment of theoretical and practical aspects of GPs in machine learning.

Gaussian Processes for Machine Learning (Repost)  eBooks & eLearning

Posted by elodar at Sept. 9, 2013
Gaussian Processes for Machine Learning (Repost)

Carl Edward Rasmussen, Christopher K. I. Williams, "Gaussian Processes for Machine Learning"
English | 2005-11-23 | ISBN: 026218253X | 266 pages | PDF | 38.11 mb

Gaussian Processes for Machine Learning (repost)  eBooks & eLearning

Posted by tot167 at Aug. 6, 2011
Gaussian Processes for Machine Learning (repost)

Carl Edward Rasmussen, Christopher K. I. Williams, "Gaussian Processes for Machine Learning"
The M,IT Press | 2005 | ISBN: 026218253X | 266 pages | PDF | 2,7 MB

Gaussian Processes for Machine Learning (repost)  eBooks & eLearning

Posted by Veslefrikk at Oct. 21, 2014
Gaussian Processes for Machine Learning (repost)

Carl Edward Rasmussen, Christopher K. I. Williams, "Gaussian Processes for Machine Learning"
English | 2005-11-23 | ISBN: 026218253X | 266 pages | PDF | 11 mb

Coursera - Bayesian Methods for Machine Learning (Higher School of Economics)  eBooks & eLearning

Posted by ParRus at April 30, 2020
Coursera - Bayesian Methods for Machine Learning (Higher School of Economics)

Coursera - Bayesian Methods for Machine Learning (Higher School of Economics)
WEBRip | English | MP4 | 1280 x 720 | AVC ~614 kbps | 25 fps
AAC | 128 Kbps | 44.1 KHz | 2 channels | Subs: English (.srt) | 09:40:48 | 2.2 GB
Genre: eLearning Video / Computer Science, Machine Learning, Artificial Intelligence

People apply Bayesian methods in many areas: from game development to drug discovery. They give superpowers to many machine learning algorithms: handling missing data, extracting much more information from small datasets. Bayesian methods also allow us to estimate uncertainty in predictions, which is a desirable feature for fields like medicine.

Statistics and Probability Essentials for Machine Learning  eBooks & eLearning

Posted by lucky_aut at April 4, 2024
Statistics and Probability Essentials for Machine Learning

Statistics and Probability Essentials for Machine Learning
Published 4/2024
Duration: 3h9m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 1.79 GB
Genre: eLearning | Language: English

Foundational Skills for Data Scientists using Python

"Pattern Recognition and Machine Learning" by Christopher M. Bishop  eBooks & eLearning

Posted by exLib at Nov. 21, 2011
"Pattern Recognition and Machine Learning" by Christopher M. Bishop

"Pattern Recognition and Machine Learning" by Christopher M. Bishop
Information Science and Statistics
Sрringеr Science+Business Media | 2006 | ISBN: 0387310738 9780387310732 | 761 pages | PDF | 5 MB

This textbook reflects these recent developments while providing a comprehensive introduction to the fields of pattern recognition and machine learning. No previous knowledge of pattern recognition or machine learning concepts is assumed. Familiarity with multivariate calculus and basic linear algebra is required, and some experience in the use of probabilities would be helpful though not essential as the book includes a self-contained introduction to basic probability theory.

Master Machine Learning & Ai With Python  eBooks & eLearning

Posted by ELK1nG at March 16, 2025
Master Machine Learning & Ai With Python

Master Machine Learning & Ai With Python
Published 3/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.97 GB | Duration: 5h 4m

Building Intelligent Systems from the Ground Up