Skip to content

esnzgn/ML2019

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

37 Commits
 
 
 
 

Repository files navigation

Machine Learning

Overview

  • Instructor: Kaveh Kavousi (kkavousi at ut.ac.ir) and Hesam Montazeri (hesam.montazeri at ut.ac.ir)
  • Teaching Assistants: Fahimeh Palizban (fahimehpalizban at ut.ac.ir) & Zohreh Toghrayee ( zohreh.toghrayee at ut.ac.ir)
  • Time & Location: Sep-Dec 2019, lectures are held on Sundays 15:00-17:00 and Tuesdays 13:00-15:00 at Ghods st. 37, Department of Bioinformatics, IBB, Tehran.
  • Google Calendar: for the detailed schedule, add the course calendar to your calendars!

Textbooks

  • The Elements of Statistical Learning by Jerome H. Friedman, Robert Tibshirani, and Trevor Hastie [ESL]
  • An Introduction to Statistical Learning: With Applications in R by Daniela Witten, Gareth James, Robert Tibshirani, and Trevor Hastie [ISL]
  • Pattern Recognition and Machine Learning by Christopher Bishop. [PRML]
  • A First Course in Machine Learning by Simon Rogers and Mark Girolami [FCML]

Exam

  • Final exam, 22/10/1398

Lecture Schedule (tentative)

Week Lecture Reading Assignments Homeworks & Projects By
W1 (31/6/1398) Lecture 1- Introduction to machine learning; linear regression (slides)

(2/7/1398) Lecture 2- linear regression 2 (slides)
Tutorial 1- Introduction to R
Required: FCML, Sec. 1.1-3

Highly recommended: Linear algebra review from Stanford (notes)
HW1 HM

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published