January 7
Intro to Matlab
Matlab Primer
January 11
Lecture 3: Nearest Neighbor Classifier
January 14
Lecture 4: Linear Classifier
January 18
Continue Lecture 4
January 21
Lecture starts at 8:30
Lecture 5: Boosting
January 25
Lecture 6: Neural Networks
January 28
Lecture starts at 8:30
Finish Lecture 6 and
Lecture 7: Cross Validation
February 2
Finish Lecture 7 and
Lecture 8: CV: Intro and Filtering
February 5
Finish Lecture 8 and
Lecture 9: CV: Edge Detection
February 8
NO LECTURE
February 11
Quiz 1
February 22
Finish Lecture 9 and
February 25
Lecture 10: CV: Segmentation
February 29
Finish lecture 10
March 3
Lecture 11: CV: Stereo
March 7
Finish lecture 11 and
Lecture 12: CV: Convolutional Neural Networks
March 10
Lecture 13: Introduction to Natural Language Processing and
Lecture 14: Language Models
March 14
Finish Lecture 14
March 17
Quiz 2
March 21
Finish Lecture 14
Lecture 15: Spelling Correction
March 23
Finish Lecture 15
March 28
Lecture 16: POS tagging
March 31
Finish lecture 10 and
Lecture 17: Information Retrieval
April 4
QUIZ 3 from 9:30-10:30