Scan barcode
![Scaling Up Machine Learning: Parallel and Distributed Approaches by John Langford, Ron Bekkerman, Mikhail Bilenko](https://558130.bdp32.group/rails/active_storage/representations/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBCS2VIdEFRPSIsImV4cCI6bnVsbCwicHVyIjoiYmxvYl9pZCJ9fQ==--5d1f653984af78ca288ed132d4106ab4503161fe/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaDdCem9MWm05eWJXRjBTU0lJYW5CbkJqb0dSVlE2RkhKbGMybDZaVjkwYjE5c2FXMXBkRnNIYVFJc0FXa0M5QUU9IiwiZXhwIjpudWxsLCJwdXIiOiJ2YXJpYXRpb24ifX0=--038335c90cf75c275ae4d36968ac417dc4a0a3e3/Scaling%20Up%20Machine%20Learning-%20Parallel%20and%20Distributed%20Approaches.jpg)
492 pages • first pub 2011 (editions)
ISBN/UID: 9780521192248
Format: Hardcover
Language: English
Publisher: Cambridge University Press
Publication date: 30 December 2011
Description
This book presents an integrated collection of representative approaches for scaling up machine learning and data mining methods on parallel and distributed computing platforms. Demand for parallelizing learning algorithms is highly task-specific:...
Community Reviews
Content Warnings
![Scaling Up Machine Learning: Parallel and Distributed Approaches by John Langford, Ron Bekkerman, Mikhail Bilenko](https://558130.bdp32.group/rails/active_storage/representations/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBCS2VIdEFRPSIsImV4cCI6bnVsbCwicHVyIjoiYmxvYl9pZCJ9fQ==--5d1f653984af78ca288ed132d4106ab4503161fe/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaDdCem9MWm05eWJXRjBTU0lJYW5CbkJqb0dSVlE2RkhKbGMybDZaVjkwYjE5c2FXMXBkRnNIYVFJc0FXa0M5QUU9IiwiZXhwIjpudWxsLCJwdXIiOiJ2YXJpYXRpb24ifX0=--038335c90cf75c275ae4d36968ac417dc4a0a3e3/Scaling%20Up%20Machine%20Learning-%20Parallel%20and%20Distributed%20Approaches.jpg)
492 pages • first pub 2011 (editions)
ISBN/UID: 9780521192248
Format: Hardcover
Language: English
Publisher: Cambridge University Press
Publication date: 30 December 2011
Description
This book presents an integrated collection of representative approaches for scaling up machine learning and data mining methods on parallel and distributed computing platforms. Demand for parallelizing learning algorithms is highly task-specific:...