CS 451 -- Topics covered (short version)
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Coursera - Machine Learning
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WEEK 1 Introduction
Linear Regression with One Variable
Linear Algebra Review
WEEK 2 Linear Regression with Multiple Variables
Octave/Matlab Tutorial
WEEK 3 Logistic Regression
Regularization
WEEK 4 Neural Networks: Representation
WEEK 5 Neural Networks: Learning
WEEK 6 Advice for Applying Machine Learning
Machine Learning System Design
WEEK 7 Support Vector Machines
WEEK 8 Unsupervised Learning
Dimensionality Reduction
WEEK 9 Anomaly Detection
Recommender Systems
WEEK 10 Large Scale Machine Learning
WEEK 11 Application Example: Photo OCR
Coursera Deep Learning Specialization
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Course 1 - Neural Networks and Deep Learning
WEEK 1 Introduction to deep learning
WEEK 2 Neural Networks Basics
WEEK 3 Shallow neural networks
WEEK 4 Deep Neural Networks
Course 2 - Improving Deep Neural Networks
WEEK 1 Practical aspects of Deep Learning
WEEK 2 Optimization algorithms
WEEK 3 [Softmax]
Course 4 - Convolutional Neural Networks
WEEK 1 Foundations of Convolutional Neural Networks
Additional topics covered
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K-nearest neighbors - Class 15
Low-rank matrix factorization - Class 25
PyTorch - Class 30 [+ 33]