Course # 30545 Section Number 1 Day(s) M- W Time(s) 10:30am-11:50am Term Winter 2025 Specialization Data Analytics Course Instructor Chris Clapp Syllabus Syllabus 7/1/24 The objective of this course is to train students to be insightful users of modern machine-learning methods. The class covers regularization methods for regression and classification, as well as large-scale approaches to inference and testing. In order to have greater flexibility when analyzing datasets, both frequentist and Bayesian methods are investigated. This class is required for the Data Analytic specialization but is open to all students who have taken the Harris core statistics classes (or the equivalent) and have some exposure to programming. Notes Students are required to register for both a lecture (PPHA 30545) and a language-specific discussion (PPHA 30547 in R or PPHA 30548 in Python). PPHA 30547/1L01 - Lab: Machine Learning in R will be offered Fridays from 1:30pm-2:50pm PPHA 30548/1L01 - Lab: Machine Learning in Python will be offered Fridays from 1:30pm-2:50pm PPHA 30548/1L02 - Lab: Machine Learning in Python will be offered Fridays from 3:00pm-4:20pm Recent News More news Free medical school tuition unlikely to have a major impact on the U.S. health care system Thu., July 25, 2024 After a shooting, community and health leaders step up to help survivors heal Tue., July 23, 2024 Student Profile: Vladimir Bejdo, DPSS’23 Thu., July 18, 2024 Upcoming Events More events Get to Know Harris! MACRM and PhD Information Session Thu., August 01, 2024 | 8:30 AM Get to Know Harris! A Virtual Information Session Wed., August 07, 2024 | 12:00 PM Harris Evening Master's Program Information Session Wed., August 21, 2024 | 12:00 PM