Inference And Learning From Data: Volume 2: 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 Second Volume Builds On Foundational Topics Established I Introduce Students For Inferring Unknown Variables Quantities Including Bayesian Monte Carlo Markov Chain Maximum-Likelihood Estimation Hidden Models Networks Reinforcement Consistent Structure Pedagogy Is Employed Throughout Reinforce Student Understanding With Over 350 End-Of-Chapter Problems (Including Solutions Instructors) 180 Solved Examples Almost 200 Figures Datasets Downloadable Matlab Code Supported Sister Volumes Foundations Unique Its Scale Depth Textbook Sequence Ideal Early-Career Researchers Graduate Across Many Courses Signal Processing Machine Analysis Data Science Σελίδες: 1070