Schedule

Lecture Notes:

• Lecture 0

Lecture Notes:

• Lecture 1

Further Reads:

• Motivation: Chapter 1 - Section 1.1 of [BB]
• Review on Linear Algebra: Chapter 2 of [GYC]
• ML Components: Chapter 1 - Sections 1.2.1 to 1.2.4 of [BB]
• Binary Classification: Chapter 5 - Sections 5.1 and 5.2 of [BB]
• McCulloch-Pitts Model: Paper A logical calculus of the ideas immanent in nervous activity published in the Bulletin of Mathematical Biophysics by Warren McCulloch and Walter Pitts in 1943, proposing a computational model for neuron. This paper is treated as the pioneer study leading to the idea of artificial neuron
• Overview on Risk Minimization: Paper An overview of statistical learning theory published as an overview of his life-going developments in ML in the IEEE Transactions on Neural Networks by Vladimir N. Vapnik in 1999