January 10
Finish Lecture 2
Lecture 3: Nearest Neighbor Classifier
Matlab Primer
January 14
Intro to Matlab
and finish Lecture 3
January 17
Really finish Lecture 3
and Lecture 4: Linear Classifier
January 21
Continue Lecture 4
January 24
Finish Lecture 4 and maybe start
January 28
Lecture 5: Boosting
January 31
Lecture 6: Neural Networks
February 4
Finish Lecture 6 and
Lecture 7: Cross Validation
February 7
QUIZ 1
February 11
Lecture 8: Introduction to Natural Language Processing and
Lecture 9: Language Models
February 14
Lecture 9
February 24
Finish Lecture 9
February 28
Lecture 10: POS tagging
March 4
Finish lecture 10 and
Lecture 11: Information Retrieval
March 7
Finish lecture 11
March 11
Lecture 12: CV: Filtering and
Lecture 13: CV: Edge Detection
March 14
Quiz 2
March 18
Finish lecture 13 and
Lecture 14: CV: Stereo
March 21
Finish lecture 14
March 25
Lecture 15: CV: Segmentation
March 28
Continue Lecture 15
April 1
Finish Lecture 15 and
Lecture 16: CV: Motion
April 4
Finish Lecture 16
April 8
NO LECTURE
April 11
QUIZ 3