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Introduction to Machine Learning
TA:
Mr. Goldani: m[dot]h[dot]goldani[at]Gmail
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groups:
- sbu-ml-96a
- sbu-ml-96b
Course syllabus
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Mid Term Exam(a) 3 Dey
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Final Exam(a) 13 Bahman
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Final Scores(a) 21 Bahman
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Lecture 1 (Introduction) 7 Mehr
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Lecture 2 (Supervised Learning) 7 Mehr
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Lecture 3 (Bayesian Decision Theory) 21 Mehr
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Lecture 4 (Parametric Methods) 28 Mehr
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Lecture 5 (Multivariate Methods)
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Lecture 6 ( Logistic Regression)
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Lecture 7 (Artificial Neural Network)
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Lecture 8 (SVM)
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Lecture 9 (Nonparametric Methods) 30 Azar
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Lecture 10 (Decision Tress) 30 Azar
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Policies 17 Azar
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Homework 1 17 Azar