Machine Learning Statistics

Machine Learning: a Concise Introduction  eBooks & eLearning

Posted by roxul at March 26, 2018
Machine Learning: a Concise Introduction

Steven W. Knox, "Machine Learning: a Concise Introduction"
English | ISBN: 1119439191 | 2018 | 352 pages | PDF | 16 MB
Handbook of Financial Econometrics, Mathematics, Statistics, and Machine Learning

Cheng Few Lee, "Handbook of Financial Econometrics, Mathematics, Statistics, and Machine Learning "
English | ISBN: 9811202389 | 2020 | 4881 pages | PDF | 101 MB

Probability and Statistics for Machine Learning  eBooks & eLearning

Posted by sammoh at April 29, 2021
Probability and Statistics for Machine Learning

Probability and Statistics for Machine Learning
MP4 | Video: AVC 1280 x 720 | Audio: AAC 48 Khz 2ch | Duration: 08:57:27 | 20.78 GB

Jon Krohn is Chief Data Scientist at the machine learning company untapt. He presents a popular series of deep learning tutorials published by Addison-Wesley and is the author of the bestselling book Deep Learning Illustrated.

"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.
Statistics and Machine Learning Methods for EHR Data: From Data Extraction to Data Analytics

Statistics and Machine Learning Methods for EHR Data: From Data Extraction to Data Analytics
by Hulin Wu

English | 2021 | ISBN: 0367442396 | 329 Pages | PDF | 22 MB
Algorithmic Advances in Riemannian Geometry and Applications: For Machine Learning, Computer Vision, Statistics

Hà Quang Minh, Vittorio Murino, "Algorithmic Advances in Riemannian Geometry and Applications: For Machine Learning, Computer Vision, Statistics, and Optimization"
English | 2016 | ISBN-10: 3319450255 | 208 pages | EPUB | 5 MB
Artificial Intelligence and Causal Inference (Chapman & Hall/CRC Machine Learning & Pattern Recognition)

Artificial Intelligence and Causal Inference (Chapman & Hall/CRC Machine Learning & Pattern Recognition) by Momiao Xiong
English | March 8, 2022 | ISBN: 0367859408 | 394 pages | MOBI | 4.83 Mb

Machine Learning using Python: The New AI: For Absolute Beginners  eBooks & eLearning

Posted by TiranaDok at May 25, 2021
Machine Learning using Python: The New AI: For Absolute Beginners

Machine Learning using Python: The New AI: For Absolute Beginners by Narendra Mohan Mittal
English | 2018 | ISBN: N/A | ASIN: B07MB1H6QY | 334 pages | MOBI | 4.12 Mb
Artificial Intelligence and Machine Learning 2.0: With Natural Language Processing using Python 3.7

Artificial Intelligence and Machine Learning 2.0: With Natural Language Processing using Python 3.7 by Narendra Mohan Mittal
English | 2019 | ISBN: N/A | ASIN: B07MBN6CFS | 713 pages | MOBI | 13 Mb
Machine Learning in Non-Stationary Environments: Introduction to Covariate Shift Adaptation (repost)

Machine Learning in Non-Stationary Environments: Introduction to Covariate Shift Adaptation (Adaptive Computation and Machine Learning series) by Masashi Sugiyama and Motoaki Kawanabe
English | 2012 | ISBN: 0262017091 | ISBN-13: 9780262017091 | 280 pages | PDF | 12,1 MB