Description: Please refer to the section BELOW (and NOT ABOVE) this line for the product details - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Title:Distributed Machine Learning And Gradient OptimizationISBN13:9789811634192ISBN10:981163419XAuthor:Jiang, Jiawei (Author), Cui, Bin (Author), Zhang, Ce (Author)Description:This Book Presents The State Of The Art In Distributed Machine Learning Algorithms That Are Based On Gradient Optimization Methods In The Big Data Era, Large-Scale Datasets Pose Enormous Challenges For The Existing Machine Learning Systems As Such, Implementing Machine Learning Algorithms In A Distributed Environment Has Become A Key Technology, And Recent Research Has Shown Gradient-Based Iterative Optimization To Be An Effective Solution Focusing On Methods That Can Speed Up Large-Scale Gradient Optimization Through Both Algorithm Optimizations And Careful System Implementations, The Book Introduces Three Essential Techniques In Designing A Gradient Optimization Algorithm To Train A Distributed Machine Learning Model: Parallel Strategy, Data Compression And Synchronization Protocol Written In A Tutorial Style, It Covers A Range Of Topics, From Fundamental Knowledge To A Number Of Carefully Designed Algorithms And Systems Of Distributed Machine Learning It Will Appeal To A Broad Audience In The Field Of Machine Learning, Artificial Intelligence, Big Data And Database Management Binding:Hardcover, HardcoverPublisher:SpringerPublication Date:2021-10-31Weight:0 lbsDimensions:Number of Pages:Language:English
Price: 173.45 USD
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End Time: 2024-11-22T03:52:41.000Z
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Book Title: Distributed Machine Learning And Gradient Optimization
Item Length: 9.3in
Item Width: 6.1in
Author: CE Zhang, Jiawei Jiang, Bin Cui
Publication Name: Distributed Machine Learning and Gradient Optimization
Format: Hardcover
Language: English
Publisher: Springer
Publication Year: 2022
Series: Big Data Management Ser.
Type: Textbook
Item Weight: 15.8 Oz
Number of Pages: Xi, 169 Pages
