Introduction to the fundamental concepts and algorithms that enable computers to uncover the underlying patterns from different types of behavioral data. Three lecture hours a week for one semester. Psychology 341K (Topic: Intro to Machine Learning) and 371M may not both be counted. Prerequisite: For psychology majors, upper-division standing and Psychology 301 and 418 or 420M with a grade of at least C in each; for others, upper-division standing, Psychology 301 with a grade of at least C, and one of the following with a grade of at least C: Advertising 309R, African and African Diaspora Studies 302M, Biomedical Engineering 335, Chemical Engineering 253K, Civil Engineering 311S, Economics 329, Educational Psychology 308, 371, Electrical Engineering 351K, Government 350K, Mathematics 316, 362K, Mechanical Engineering 335, Psychology 317, 317L, Public Relations 309, Sociology 317L, Social Work 318, Statistics 301, 309, Statistics and Data Sciences 301, 302, 302F, 303, 304, 305, 306, 318, 320E, 321, 325H, 328M.