Textbooks:
- Data Mining and Machine Learning: Fundamental Concepts and Algorithms by Mohammed J. Zaki and Wagner Meira Jr.
- Mathematical Foundations of Data Sciences by Jeff M. Phillips
- Mathematics for Machine Learning by M.P. Deisenroth, A. A. Faisal, and C.S. Ong.
- Foundations of Data Science by A. Blum, J. Hopcroft, and R. Kannan.
- Introduction to Machine Learning by Alex Smola, and S.V.N. Vishwanathan
Prerequisites:
General Mathematics, Linear Algebra and Probability at the advanced undergraduate level.
Class time:
Sunday and Tuesday 10:30-12:00 a.m. (Fall 2022)
Room: 204
Examinations:
MidTerm: Sunday 13 Azar 1401, 10:30-12:00 a.m.
Final: Saturday 17 Day 1401, 10:00-12:00 a.m.
Grading:
Project: 20%
MidTerm: 30%
Final: 50%