Machine Learning
Sundays and Tuesdays from 15:00 pm to 16:30 pm
E-Learning Center
2nd Semester 1397-1398 (Jan. 2019)
Instructor: Dr. Mohammad Reza Ahmadzadeh
Room Location: ECE Building – B322
Internal Telephone: Ext. 5370
External Telephone: Iran: +98 (0)31 33915370
Fax: Iran: +98 (0)31 33912451
Email:
Ahmadzadeh @ iut.ac.ir
Ahmadzadeh.m @ gmail.com
Office Hours:
I will try to be in my office on Saturdays and Mondays from 8 :00 to 9 :20 am and but I will always do my best to be available for students by appointment or any time that I am free.
Course Description:
This course covers the fundamentals of Machine Learning.
Textbook:
Introduction to Machine Learning, 3rd edition, Ethem ALPAYDIN
Outline:
1 Introduction 1
2 Supervised Learning 21
3 Bayesian Decision Theory 49
4 Parametric Methods 65
5 Multivariate Methods 93
6 Dimensionality Reduction 115
7 Clustering 161
8 Nonparametric Methods 185
9 Decision Trees 213
10 Linear Discrimination 239
11 Multilayer Perceptrons 267
12 Local Models 317
13 Kernel Machines 349
14 Graphical Models 387
15 Hidden Markov Models 417
16 Bayesian Estimation 445
17 Combining Multiple Learners 487
18 Reinforcement Learning 517
19 Design and Analysis of ML Experiments 547
Attachment | Size |
---|---|
ml-chap1.pdf | 743.18 KB |
ml-chap2.pdf | 1.02 MB |
ml-chap3.pdf | 849.15 KB |
ml-chap4.pdf | 1.06 MB |
ml-chap5.pdf | 1.14 MB |
ml-chap6.pdf | 2.02 MB |
ml-chap7.pdf | 918.73 KB |
ml-chap8.pdf | 728.34 KB |
ml-chap9.pdf | 994.04 KB |
ml-chap10.pdf | 1.06 MB |
ml-chap13.pdf | 984.9 KB |
ml-chap15.pdf | 857.4 KB |
ml-chap17.pdf | 864.44 KB |
ml-chap18.pdf | 783.91 KB |
ml-chap19.pdf | 789.36 KB |