Inference And Learning From Data: Volume 1: Foundations 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 First Volume Foundations Introduces Core Topics Such As Matrix Theory Linear Algebra Random Variables Convex Optimization Stochastic Prepares Students For Studying Their Practical Application Later Volumes Consistent Structure Pedagogy Is Employed Throughout Reinforce Student Understanding With Over 600 End-Of-Chapter Problems (Including Solutions Instructors) 100 Figures 180 Solved Examples Datasets Downloadable Matlab Code Supported Sister Unique Its Scale Depth Textbook Sequence Ideal Early-Career Researchers Graduate Across Many Courses Signal Processing Machine Analysis Data Science Σελίδες: 1010