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Machine Learning Course

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Computer Science Faculty of Shahid Beheshti University. Winter 2023 {: .fs-6 .fw-300 }

Machine Learning is a rapidly evolving field that is currently revolutionizing the way we interact with data. Machine learning course will start off with the basics, such as introducing the fundamentals of statistics and probability. From there, students will move on to more advanced topics like linear and logistic regression, classification, clustering, deep learning, and reinforcement learning. By the end of the course, students should have a solid understanding of the various models and techniques used in machine learning and be able to apply them to real-world problems.

Lectures

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Week	Topic
1-3	Fundamentals of Statistics and Probability	Basics of Probability
		Various Distributions
		Statistics
		Hypothesis Tests
4-5	Regression	Linear Regression
		Polynomial Regression
		Logistic Regression
		LDA
6-8	Model Evaluation	Cross Validation
		Bootstrapping
		Feature Selection
		Regularization
9-10	Support Vector Machine
11-13	Tree-Based Methods	Decision Tree
		Ensemble Learning
		Bagging
		Boosting
14-15	Unsupervised Learning	PCA
		Clustering
16	Reinforcement Learning