CIVE70111 Machine Learning Playground
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Lecture 02
Supervised Learning I
A
Linear Regression
B
Gradient Descent
C
Multi-Linear Regression
Lecture 03
Supervised Learning II
A
Higher-Order Features
B
Feature Engineering
C
Regularisation
D
Regularised GD
E
Perceptrons
F
1-D Classification
G
2-D Classification
H
Classification Metrics
Lecture 04
Neural Networks
A
Neural Networks
B
Backpropagation
C
ANN Applications
Lecture 05
Computer Vision
A
Convolution & Pooling
B
CNN Architecture
Lecture 06
Attention
A
Bag of Words
B
RNNs
C
LSTMs
D
Attention Mechanism
Lecture 07
Unsupervised Learning
A
K-Means Clustering
B
Hierarchical Clustering
C
PCA
Lecture 08
Reinforcement Learning
A
Multi-Armed Bandit
B
Grid World
C
Policy Iteration
Lecture 09
Deep RL
A
Cartpole Control
B
Model-Free Control
Credits
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