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In Lecture 12 we introduce the field of Machne Learning, its similarities and differences with Statistics and discuss one simple classification method: K-Nearest Neighbors Timeline: 00:00 Introduction 01:06 An overview of Statistics 03:33 Brief explanation of ML field 16:50 Comparison of Staitistics and ML 28:00 An algorithm of ML problem 33:10 K-Nearest Neighbor Algorithm 38:35 Example: predicting the loan defaul 1:00:10 Model evaluation The course “Mathematical Statistics“ for the 2nd year bachelors in Economics Taught at BRICS institute, Irkutsk National Research Technical University, Spring semester 2022
