INFO 3950

INFO 3950

Course information provided by the Courses of Study 2024-2025.

This course will cover intermediate-level applications of data science, with focus on discovery, interpretation, and communication of meaningful patterns in data. Topics will include regression, classification, clustering, and forecasting, with an overview of machine learning algorithms and statistical inference.

When Offered Spring.

Prerequisites/Corequisites Prerequisite: INFO 2950 or equivalent, plus substantial comfort with python programming in Jupyter notebook.

Comments Note: This course may not be taken for credit after or concurrently with CS 3780 or ECE 4200.

View Enrollment Information

Syllabi: none
  •   Regular Academic Session. 

  • 3 Credits Stdnt Opt

  •  7655 INFO 3950   LEC 001

    • TR
    • Jan 21 - May 6, 2025
    • Ginsparg, P

  • Instruction Mode: In Person
    Please fill out this form to add yourself to the waitlist: https://pgcourse.infosci.cornell.edu/cgi-bin/waitlist3950.py For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/