Lecture Notes

January 5
                     Lecture 1: Introduction

January 9
                     Lecture 2: Introduction to ML, linea algebra review

January 12
                     Intro to matlab
                     Matlab Primer

January 16
                     Lecture 3: Nearest Neighbor Classifier
                     Lecture 4: Linear Classifier, 2 classes

January 19
                     Continue Lecture 4

January 23
                     Finish Lecture 4
                    

January 26
                     Lecture 5: Linear Classifier, multiple classes

January 30
                     Finish lecture 5 and
                     Lecture 6: Cross Validation and
                     Lecture 7: Neural Networks

February 2
                     Lecture 7

February 6
                     Finish Lecture 7 and
                     Lecture 8: CV: Intro and Filtering

February 9
                     Quiz 1

February 13
                     Finish Lecture 8 and
                     Lecture 9: CV: Edge Detection

February 16
                     Finish Lecture 9

February 27
                    
                     Lecture 10: CV: Segmentation

March 2
                     Finish lecture 10 and start
                     Lecture 11: CV: Stereo

March 6
                     Finish lecture 11 and
                     Lecture 12: CV: Convolutional Neural Networks

March 9
                     Quiz 2

March 13
                     Finish Lecture 12 and
                     Lecture 13: Introduction to Natural Language Processing

March 17
                     Finish Lecture 13 and
                     Lecture 14: Language Models

March 20
                     Continue Lecture 14

March 23
                     Finish Lecture 14 and
                     Lecture 15: Spelling Correction

March 27
                     Finish Lecture 15 and
                     Lecture 16: POS tagging

March 30
                     Finish Lecture 16

April 3
                     Lecture 17: Information Retrieval

April 6
                     QUIZ 3 from 9:30-10:30