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An Introduction to Machine Learning, Third Edition

Posted By: AvaxGenius
An Introduction to Machine Learning, Third Edition

An Introduction to Machine Learning, Third Edition by Miroslav Kubat
English | PDF,EPUB | 2021 | 458 Pages | ISBN : 3030819345 | 19.9 MB

This textbook offers a comprehensive introduction to Machine Learning techniques and algorithms. This Third Edition covers newer approaches that have become highly topical, including deep learning, and auto-encoding, introductory information about temporal learning and hidden Markov models, and a much more detailed treatment of reinforcement learning. The book is written in an easy-to-understand manner with many examples and pictures, and with a lot of practical advice and discussions of simple applications.

AI-Based Transportation Planning and Operation

Posted By: AvaxGenius
AI-Based Transportation Planning and Operation

AI-Based Transportation Planning and Operation by Keemin Sohn
English | PDF | 2021 | 126 Pages | ISBN : 3036503641 | 13.5 MB

The purpose of this Special Issue is to create an an academic platform whereby high-quality research papers are published on the applications of innovative AI algorithms to transportation planning and operation. The authors present their original research articles related to the applications of AI or machine-learning techniques to transportation planning and operation. The topics of the articles encompass traffic surveillance, traffic safety, vehicle emission reduction, congestion management, traffic speed forecasting, and ride sharing strategy.

An Introduction to Statistical Learning: with Applications in R (Corrected at 8th printing 2017)

Posted By: AvaxGenius
An Introduction to Statistical Learning: with Applications in R (Corrected at 8th printing 2017)

An Introduction to Statistical Learning: with Applications in R by Gareth James
English | PDF,EPUB (True) | 2013 (Corrected at 8th printing 2017) | 434 Pages | ISBN : 1461471370 | 14.62 MB

An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance to marketing to astrophysics in the past twenty years.