Scaling Up Machine Learning

Scaling Up Machine Learning
Author :
Publisher : Cambridge University Press
Total Pages : 493
Release :
ISBN-10 : 9780521192248
ISBN-13 : 0521192242
Rating : 4/5 (242 Downloads)

Book Synopsis Scaling Up Machine Learning by : Ron Bekkerman

Download or read book Scaling Up Machine Learning written by Ron Bekkerman and published by Cambridge University Press. This book was released on 2012 with total page 493 pages. Available in PDF, EPUB and Kindle. Book excerpt: This integrated collection covers a range of parallelization platforms, concurrent programming frameworks and machine learning settings, with case studies.


Scaling Up Machine Learning Related Books

Scaling Up Machine Learning
Language: en
Pages: 493
Authors: Ron Bekkerman
Categories: Computers
Type: BOOK - Published: 2012 - Publisher: Cambridge University Press

DOWNLOAD EBOOK

This integrated collection covers a range of parallelization platforms, concurrent programming frameworks and machine learning settings, with case studies.
Distributed Machine Learning Patterns
Language: en
Pages: 375
Authors: Yuan Tang
Categories: Computers
Type: BOOK - Published: 2022-04-26 - Publisher: Manning

DOWNLOAD EBOOK

Practical patterns for scaling machine learning from your laptop to a distributed cluster. Scaling up models from standalone devices to large distributed cluste
Advances in Distributed Computing and Machine Learning
Language: en
Pages: 526
Authors: Asis Kumar Tripathy
Categories: Technology & Engineering
Type: BOOK - Published: 2020-06-11 - Publisher: Springer Nature

DOWNLOAD EBOOK

This book presents recent advances in the field of distributed computing and machine learning, along with cutting-edge research in the field of Internet of Thin
Coded Computing
Language: en
Pages: 148
Authors: Songze Li
Categories: Coding theory
Type: BOOK - Published: 2020 - Publisher:

DOWNLOAD EBOOK

We introduce the concept of “coded computing”, a novel computing paradigm that utilizes coding theory to effectively inject and leverage data/computation re
Distributed Machine Learning and Computing
Language: en
Pages: 163
Authors: M. Hadi Amini
Categories:
Type: BOOK - Published: - Publisher: Springer Nature

DOWNLOAD EBOOK