Clover I/O
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Statistical Learning

This article is about learning and reviewing the Introductory Applied Machine Learning (IAML) course from The University of Edinburgh.

Links: Lecture Videos, GitHub Courseworks.

Week Topics Lab/Coursework
1
 Mathematical Preliminaries Lab 0
2 Dealing with Data, Naive Bayes Lab 1
3
 Decision Trees, Generalisation and Evaluation Coursework 1
4 Linear Regression, Logistic Regression Lab 2
5 Optimisation and Regularisation, SVM I Coursework 2
6 SVM II, Nearest Neighbour Methods Lab 3
7 K-Means, Gaussian Mixture Models Coursework 3
8 PCA, Hierarchical Clustering Lab 4
9 Perceptrons, Neural Networks Coursework 4
10 Lab 5
  1. Math and Data
  2. Naive Bayes
  3. Decision Trees
  4. Linear Regression
  5. Logistic Regression
  6. SVM
  7. K-NN
  8. K-Means
  9. GMM & EM
  10. PCA
  11. Neural Networks
  12. Adaboost

Math and Data