Lecture Notes

January 8
                     Lecture 1: Introduction
                     Lecture 2: Introduction to ML, linea algebra review

January 11
                     Finish Lecture 2

January 15
                     Intro to matlab
                     Matlab Primer
                     Lecture 3: Nearest Neighbor Classifier

January 18
                     Finish Lecture 3 and maybe start
                     Lecture 4: Linear Classifier, 2 classes

January 22
                     Continue Lecture 4

January 25
                     Continue Lecture 4

January 29
                     Finish Lecture 4 and
                     Lecture 5: Linear Classifier, multiple classes

February 1
                     Lecture 6: Cross Validation and maybe
                     Lecture 7: Neural Networks

February 5
                     Continue Lecture 7

February 8
                     Finish Lecture 7

February 12
                     Lecture 8: CV: Intro and Filtering

February 15
                     Quiz 1

February 26
                     Lecture 9: CV: Edge Detection

March 1
                     Finish Lecture 9 and
                     Lecture 10: CV: Segmentation

March 5
                    
                     Continue Lecture 10

March 8
                    
                     Finish Lecture 10

March 12
                     Lecture 12: CV: Convolutional Neural Networks

March 15
                     Quiz 2

March 19
                     Lecture 13: Introduction to Natural Language Processing and
                     Lecture 14: Language Models

March 22
                     Continue Lecture 14

March 26
                     Finish Lecture 14 and
                     Lecture 15: Spelling Correction

March 29
                     Finish Lecture 15 and start
                     Lecture 16: POS tagging

April 2
                     Finish Lecture 16 and start
                     Lecture 17: Information Retrieval

April 5
                     Finish Lecture 17

April 9
                     Quiz 3