CS-XXX Introduction to Machine Learning

Instructor: Arbish Akram

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This course covers the theory and practice of AI algorithms that learn from data to make predictions, including supervised learning, unsupervised learning, and neural networks.

Text

1. Pattern Recognition and Machine Learning by Christopher M. Bishop

Grading

Assignments	Quizzes	Midterm Exam	Final Exam
5%	25%	20%	50%

Schedule

Lecture	Topics	Slides	Reading Material	Tutorials	Quizzes	Assignments
1	Introduction	Slides
2	Curve Fitting	Slides	Bishop 1.1	Tutorial 1: Linear Regression
3	Rules of Probability	Slides	Bishop 1.2
4	Statistics	Slides	Bishop 1.2.2