MACHINE LEARNING PRINCIPLES

Prerequisites & course information

(01:640:250 INTRO LINEAR ALGEBRA and 01:198:206 INTRODUCTION TO DISCRETE STRUCTURES II and 01:198:112 DATA STRUCTURES and 01:198:112 DATA STRUCTURES ) OR (01:640:250 INTRO LINEAR ALGEBRA and 14:332:226 PROBABILITY & RANDOM PROCESSES and 01:198:112 DATA STRUCTURES and 01:198:112 DATA STRUCTURES ) OR (01:640:250 INTRO LINEAR ALGEBRA and 01:960:379 BASIC PROB AND STAT and 01:198:112 DATA STRUCTURES and 01:198:112 DATA STRUCTURES ) OR (01:640:250 INTRO LINEAR ALGEBRA and 01:640:477 MATHEMATICAL THEORY OF PROBABILITY and 01:198:112 DATA STRUCTURES and 01:198:112 DATA STRUCTURES ) OR (01:640:250 INTRO LINEAR ALGEBRA and 14:332:226 PROBABILITY & RANDOM PROCESSES and 14:332:351 PROGRM METHODOLOGYII and 14:332:351 PROGRM METHODOLOGYII ) OR (01:640:250 INTRO LINEAR ALGEBRA and 01:198:206 INTRODUCTION TO DISCRETE STRUCTURES II and 14:332:351 PROGRM METHODOLOGYII and 14:332:351 PROGRM METHODOLOGYII )