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COS 324 - Introduction to Machine Learning |
Fall 2017 |
| Course home | Outline and Lecture Notes | Assignments |
| Date | Lecture (click for notes) | Readings | Assignments | Precepts |
|---|---|---|---|---|
| Thu, Sep 14 | Introduction to machine learning | MW survey | Precept 1: p1.pdf | |
| Tue, Sep 19 | Basics of decision making and online learning | MW survey | Assignment 1: hw1.pdf | |
| Thu, Sep 21 | The power of randomness in learning | Book 2 chapter 1 | Precept 2: p2.pdf | |
| Tue, Sep 26 | PAC Learning - Part I | Book 1 chapter 3 | Assignment 2: pa1.pdf | |
| Thu, Sep 28 | PAC Learning - Part II | Book 1 chapter 3 | Precept 3: JupyterDemo.ipynb | |
| Tue, Oct 3 | From learning to optimization | Book 1 chapters 8, 9.1 | Assignment 3: hw3.pdf | |
| Thu, Oct 5 | Introduction to mathematical optimization | Book 1 chapter 12 , Book 2 chapter 2 | Precept 4: p4.pdf | |
| Tue, Oct 10 | Gradient descent | Book 1 chapter 12 , Book 2 chapter 2 | Assignment 4: hw4.pdf | |
| Thu, Oct 12 | Stochastic Gradient descent | Book 1 chapter 14 , Book 2 chapter 3 | Precept 5: p5.pdf | |
| Tue, Oct 17 | Gradient Methods in Machine Learning | Book 1 chapter 14 , Book 2 chapter 3 | Assignment 5: hw5.pdf | |
| Thu, Oct 19 | Precept 6: p6.pdf | |||
| Tue, Nov 7 | Error Decomposition | |||
| Thu, Nov 9 | Multiclass Learning | Book 1 chapter 17 | Precept 7: p7.pdf | |
| Tue, Nov 14 | Assignment 6: hw6.pdf (due Nov 29) | |||
| Thu, Nov 16 | Similarity Learning | Precept 8: p8.pdf | ||
| Tue, Nov 21 | Decision Trees | Book 1 chapter 18 | Assignment 7: hw7.pdf | |
| Thu, Nov 23 | Thanksgiving!! | |||
| Tue, Nov 28 | Boosting | Book 1 chapter 10 , review lecture 3 | Precept 9: p9.pdf | |
| Thu, Nov 30 | From boosting back to decision trees and forward to NN | Book 1 chapter 18 | ||
| Tue, Dec 5 | Neural Networks learning | Book 1 chapter 20 | ||
| Tue, Dec 12 | Clustering | Book 1 chapter 22.2 |