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Machine Learning
TA:
Mr. Goldani: m[dot]h[dot]goldani[at]Gmail
Lecture 1 (Introduction) 25 Shahrivar
Lecture 2 (Supervised Learning) 4 Mehr
Lecture 3 (Bayesian Decision Theory) 22 Mehr
Lecture 4 (Parametric Methods) 22 Mehr
Lecture 5 (Multivariate Methods) 14 Aban
Lecture 6 (Linear Discrimination) 6 Azar
Lecture 7 (An Introduction to Artificial Neural Networks) 6 Azar
Lecture 8 (Support Vector Machine) 4 Dey
Lecture 9 (Dimensionality Reduction) 4 Dey
Homework 1 required data Solution 6 Azar
Homework 2 required data 6 Aban
Homework 3 required data 24 Azar
Homework 4 required data 18 Dey