Deep Learning Adaptive Computation And Machine Learning

Deep Learning (Adaptive Computation and Machine Learning)  eBooks & eLearning

Posted by IrGens at Sept. 1, 2021
Deep Learning (Adaptive Computation and Machine Learning)

Deep Learning (Adaptive Computation and Machine Learning) by Ian Goodfellow, Yoshua Bengio, Aaron Courville
English | November 18, 2016 | ISBN: 0262035618 | EPUB | 800 pages | 26.2 MB

Foundations of Computer Vision (Adaptive Computation and Machine Learning series)  eBooks & eLearning

Posted by Free butterfly at Aug. 21, 2024
Foundations of Computer Vision (Adaptive Computation and Machine Learning series)

Foundations of Computer Vision (Adaptive Computation and Machine Learning series) by Antonio Torralba, Phillip Isola, William T. Freeman
English | April 16, 2024 | ISBN: 0262048973 | 840 pages | MOBI | 100 Mb
Knowledge Graphs: Fundamentals, Techniques, and Applications (Adaptive Computation and Machine Learning)

Knowledge Graphs: Fundamentals, Techniques, and Applications (Adaptive Computation and Machine Learning) by Mayank Kejriwal, Craig A. Knoblock, Pedro Szekely
English | March 30th, 2021 | ISBN: 0262045095 | 568 pages | True EPUB | 27.45 MB

A rigorous and comprehensive textbook covering the major approaches to knowledge graphs, an active and interdisciplinary area within artificial intelligence.

Foundations of Computer Vision  eBooks & eLearning

Posted by tarantoga at April 28, 2024
Foundations of Computer Vision

Antonio Torralba, Phillip Isola, William T. Freeman, "Foundations of Computer Vision (Adaptive Computation and Machine Learning series)"
English | ISBN: 0262048973 | 2024 | EPUB | 240 pages | 79 MB
Introduction to Machine Learning, fourth edition (Adaptive Computation and Machine Learning series)

Introduction to Machine Learning, fourth edition (Adaptive Computation and Machine Learning series) by Ethem Alpaydin
English | March 24, 2020 | ISBN: 0262043793 | 712 pages | PDF (Converted) | 15 Mb
Introduction to Machine Learning (Adaptive Computation and Machine Learning), 4th Edition

Introduction to Machine Learning (Adaptive Computation and Machine Learning), 4th Edition by Ethem Alpaydin
English | March 24th, 2020 | ISBN: 0262043793 | 712 pages | True EPUB | 10.13 MB

A substantially revised fourth edition of a comprehensive textbook, including new coverage of recent advances in deep learning and neural networks.

Theoretical Computer Science  eBooks & eLearning

Posted by AvaxGenius at July 13, 2021
Theoretical Computer Science

Theoretical Computer Science: 38th National Conference, NCTCS 2020, Nanning, China, November 13–15, 2020, Revised Selected Papers by Kun He
English | EPUB | 2021 | 206 Pages | ISBN : 9811618763 | 17.5 MB

This book constitutes the thoroughly refereed proceedings of the 38th National Conference of Theoretical Computer Science, NCTCS 2020, held in Nanning, China, in November 2020.

Theoretical Computer Science  eBooks & eLearning

Posted by AvaxGenius at April 13, 2021
Theoretical Computer Science

Theoretical Computer Science: 38th National Conference, NCTCS 2020, Nanning, China, November 13–15, 2020, Revised Selected Papers by Kun He
English | PDF | 2021 | 206 Pages | ISBN : 9811618763 | 15.7 MB

This book constitutes the thoroughly refereed proceedings of the 38th National Conference of Theoretical Computer Science, NCTCS 2020, held in Nanning, China, in November 2020.

Machine Learning Essentials (2023)  eBooks & eLearning

Posted by ELK1nG at Feb. 20, 2023
Machine Learning Essentials (2023)

Machine Learning Essentials (2023)
Published 2/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 15.85 GB | Duration: 27h 57m

Kickstart Machine Learning, understand maths behind essential algorithms, implement them in python & build 8+ projects!

Introduction to Machine Learning, 3 edition  eBooks & eLearning

Posted by interes at April 28, 2019
Introduction to Machine Learning, 3 edition

Introduction to Machine Learning, 3 edition (Adaptive Computation and Machine Learning series) by Ethem Alpaydin
English | 2014 | ISBN: 0262028182 | 640 pages | PDF | 7,4 MB