Accelerated Optimization For Machine Learning First Order Algorithms(1st Edition)
Authors:
Zhouchen Lin ,Huan Li ,Cong Fang
In Stock: 1 Left
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Expected shipping within 2 - 3 DaysPopular items with books
Total Price:
$83.01
Solution Manual Includes
Price:
$9.99
Book details
ISBN: 9811529124, 978-9811529122
Book publisher: Springer
Book Price $83.01 : This Book On Optimization Includes Forewords By Michael I. Jordan, Zongben Xu And Zhi-Quan Luo. Machine Learning Relies Heavily On Optimization To Solve Problems With Its Learning Models, And First-order Optimization Algorithms Are The Mainstream Approaches. The Acceleration Of First-order Optimization Algorithms Is Crucial For The Efficiency Of Machine Learning.Written By Leading Experts In The Field, This Book Provides A Comprehensive Introduction To, And State-of-the-art Review Of Accelerated First-order Optimization Algorithms For Machine Learning. It Discusses A Variety Of Methods, Including Deterministic And Stochastic Algorithms, Where The Algorithms Can Be Synchronous Or Asynchronous, For Unconstrained And Constrained Problems, Which Can Be Convex Or Non-convex. Offering A Rich Blend Of Ideas, Theories And Proofs, The Book Is Up-to-date And Self-contained. It Is An Excellent Reference Resource For Users Who Are Seeking Faster Optimization Algorithms, As Well Asfor Graduate Students And Researchers Wanting To Grasp The Frontiers Of Optimization In Machine Learning In A Short Time.
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