Machine Learning Statistics

Machine Learning in Non-Stationary Environments: Introduction to Covariate Shift Adaptation eBooks & eLearning

Posted by interes at May 17, 2013

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

As the power of computing has grown over the past few decades, the field of machine learning has advanced rapidly in both theory and practice. Machine learning methods are usually based on the assumption that the data generation mechanism does not change over time.

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Machine Learning in Non-Stationary Environments: Introduction to Covariate Shift Adaptation eBooks & eLearning

Posted by step778 at March 11, 2019

Masashi Sugiyama, Motoaki Kawanabe, "Machine Learning in Non-Stationary Environments: Introduction to Covariate Shift Adaptation"
2012 | pages: 263 | ISBN: 0262017091 | DJVU | 2,2 mb

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Machine Learning in Non-Stationary Environments: Introduction to Covariate Shift Adaptation eBooks & eLearning

Posted by interes at March 25, 2019

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Python for Data Science and Machine Learning beginners (Updated 7/2020) eBooks & eLearning

Posted by Sigha at July 13, 2020

Python for Data Science and Machine Learning beginners
Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 44100 Hz, 2ch | Size: 5.12 GB
Genre: eLearning Video | Duration: 70 lectures (7 hour, 31 mins) | Language: English

produced by – When maths meet coding

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Veracity of Big Data: Machine Learning and Other Approaches to Verifying Truthfulness eBooks & eLearning

Posted by Free butterfly at Sept. 10, 2023

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Foundations of Machine Learning eBooks & eLearning

Posted by arundhati at Jan. 13, 2013

Mehryar Mohri, Afshin Rostamizadeh , "Foundations of Machine Learning"
2012 | ISBN-10: 026201825X | PDF | 432 pages | 3,4 MB

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Veracity of Big Data: Machine Learning and Other Approaches to Verifying Truthfulness eBooks & eLearning

Posted by AvaxGenius at June 9, 2018

Examine the problem of maintaining the quality of big data and discover novel solutions. You will learn the four V’s of big data, including veracity, and study the problem from various angles. The solutions discussed are drawn from diverse areas of engineering and math, including machine learning, statistics, formal methods, and the Blockchain technology.

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Foundations of Machine Learning (Repost) eBooks & eLearning

Posted by DZ123 at Jan. 16, 2017

Mehryar Mohri, Afshin Rostamizadeh, Ameet Talwalkar, "Foundations of Machine Learning"
English | 2012 | ISBN: 026201825X | PDF | pages: 427 | 2.7 mb

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2 In 1: Python Machine Learning Plus 30 Hour Python Bootcamp eBooks & eLearning

Posted by ELK1nG at Dec. 28, 2022

2 In 1: Python Machine Learning Plus 30 Hour Python Bootcamp
Last updated 10/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 14.17 GB | Duration: 44h 46m

Learn model building, algorithms, data science PLUS 30 hours of step by step coding, libraries, arguments, projects +++

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Master Statistics & Machine Learning: Intuition, Math, Code eBooks & eLearning

Posted by ELK1nG at Nov. 9, 2022

Master Statistics & Machine Learning: Intuition, Math, Code
Last updated 10/2022
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 13.05 GB | Duration: 38h 20m

A rigorous and engaging deep-dive into statistics and machine-learning, with hands-on applications in Python and MATLAB.

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