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