Search Results

Machine Learning Under a Modern Optimization Lens

Download or Read eBook Machine Learning Under a Modern Optimization Lens PDF written by Dimitris Bertsimas and published by . This book was released on 2019 with total page 589 pages. Available in PDF, EPUB and Kindle.
Machine Learning Under a Modern Optimization Lens
Author :
Publisher :
Total Pages : 589
Release :
ISBN-10 : 1733788506
ISBN-13 : 9781733788502
Rating : 4/5 (06 Downloads)

Book Synopsis Machine Learning Under a Modern Optimization Lens by : Dimitris Bertsimas

Book excerpt:


Machine Learning Under a Modern Optimization Lens Related Books

Machine Learning Under a Modern Optimization Lens
Language: en
Pages: 589
Authors: Dimitris Bertsimas
Categories: Machine learning
Type: BOOK - Published: 2019 - Publisher:

DOWNLOAD EBOOK

Rollout, Policy Iteration, and Distributed Reinforcement Learning
Language: en
Pages: 498
Authors: Dimitri Bertsekas
Categories: Computers
Type: BOOK - Published: 2021-08-20 - Publisher: Athena Scientific

DOWNLOAD EBOOK

The purpose of this book is to develop in greater depth some of the methods from the author's Reinforcement Learning and Optimal Control recently published text
Advanced Finite Element Method in Structural Engineering
Language: en
Pages: 715
Authors: Yu-Qiu Long
Categories: Technology & Engineering
Type: BOOK - Published: 2009-09-29 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

Advanced Finite Element Method in Structural Engineering systematically introduces the research work on the Finite Element Method (FEM), which was completed by
Machine Learning Refined
Language: en
Pages: 597
Authors: Jeremy Watt
Categories: Computers
Type: BOOK - Published: 2020-01-09 - Publisher: Cambridge University Press

DOWNLOAD EBOOK

An intuitive approach to machine learning covering key concepts, real-world applications, and practical Python coding exercises.
Probabilistic Machine Learning
Language: en
Pages: 858
Authors: Kevin P. Murphy
Categories: Computers
Type: BOOK - Published: 2022-03-01 - Publisher: MIT Press

DOWNLOAD EBOOK

A detailed and up-to-date introduction to machine learning, presented through the unifying lens of probabilistic modeling and Bayesian decision theory. This boo
Scroll to top