Spring 2024

INDENG 142A 1 - LEC 1

Introduction to Machine Learning and Data Analytics

Stewart Liu

Jan 16, 2024 - May 03, 2024

Mo, We, Fr

12:00 pm - 12:59 pm

Evans 10

Class #:33599

Units: 4

Instruction Mode: In-Person Instruction

Offered through Industrial Engineering and Operations Research

Current Enrollment

Total Open Seats: -2

Enrolled: 197

Waitlisted: 0

Capacity: 195

Waitlist Max: 0

No Reserved Seats

Hours & Workload

3 hours of instructor presentation of course materials per week, 8 hours of outside work hours per week, and 1 hours of the exchange of opinions or questions on course material per week.

This course introduces students to key techniques in machine learning and data analytics through a diverse set of examples using real datasets from domains such as e-commerce, healthcare, social media, sports, the Internet, and more. Through these examples, exercises in R, and a comprehensive team project, students will gain experience understanding and applying techniques such as linear regression, logistic regression, classification and regression trees, random forests, boosting, text mining, data cleaning and manipulation, data visualization, network analysis, time series modeling, clustering, principal component analysis, regularization, and large-scale learning.

Rules & Requirements

Credit Restrictions

Students will receive no credit for IND ENG 142A after completing IND ENG 142, IND ENG 242, IND ENG 242A, COMPSCI 189, COMPSCI 289, or STAT 154. A deficient grade in IND ENG 142A may be removed by taking IND ENG 142.