CSC 412 Machine Learning and Knowledge Discovery
Syllabus
01-27 (Mon):
AI vs ML Diagram
02-03 (Mon):
Textbook Exercises — Chapter 1
02-05 (Wed):
Linear Regression I
(Typo Correction:
θ
m
→
θ
n
and
x
m
→
x
n
)
02-10 (Mon):
Linear Regression II
02-18 (Tue):
Linear Regression Notes
Gradient Descent Visualization
02-20 (Wed):
Logistic Regression Notes
02-24 (Mon):
Logistic Regression Notes II
Textbook Exercises — Chapter 4
Exercise I (w/ answers)
02-26 (Wed):
Logistic Regression Notes III
Neural Networks Notes
03-03 (Mon):
Single Layer Neural Networks
(Logistic)
(Softmax)
03-05 (Wed):
Multi-Layer Neural Networks
Neural Network (Video)
03-06 (Thu):
Textbook Exercises — Chapter 10
Exercise II (w/ answers)
Review I
03-17 (Mon):
Exam I
03-10 (Mon):
Back Propagation
Training DNNs
Initialization
03-19 (Wed):
Faster Optimizers
Optimization
Textbook Exercises — Chapter 11
