Inference And Learning From Data: Volume 3: Ali H Sayed Cambridge University Press Αγγλικά Βιβλία Computing Technology

This Extraordinary Three-Volume Work Written In An Engaging And Rigorous Style By A World Authority The Field Provides Accessible Comprehensive Introduction To Full Spectrum Of Mathematical Statistical Techniques Underpinning Contemporary Methods Data-Driven Learning Inference Final Volume Builds On Foundational Topics Established I Provide Thorough Addressing Such As Least-Squares Regularization Online Kernel Feedforward Recurrent Neural Networks Meta-Learning Adversarial Attacks Consistent Structure Pedagogy Is Employed Throughout Reinforce Student Understanding With Over 350 End-Of-Chapter Problems (Including Complete Solutions For Instructors) 280 Figures 100 Solved Examples Datasets Downloadable Matlab Code Supported Sister Volumes Foundations Unique Its Scale Depth Textbook Sequence Ideal Early-Career Researchers Graduate Students Across Many Courses Signal Processing Machine Data Σελίδες: 990