DATA 322 - Machine Learning for Data Science

Units: 4

A broad introduction to machine learning, data mining, and statistical pattern recognition. Topics include: (i) Supervised learning (ii), Unsupervised learning and (iii) Best practices in machine learning. The course draws from numerous case studies and applications, with a practical rather than theoretical emphasis.
Division: Upper Division
Requisites: Prerequisites: DATA 271, MATH 107 and STAT 109
Permission to enroll: No Special Consent Required
Grading mode: Optional Grade Basis
Weekly: Lecture 3 hrs. Activity 2 hrs.
Possible Instruction Mode(s): In Person

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