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Recommended resources
Module 2
Principles of Statistical Learning
Module 3
Probabilistic Modelling Fundamentals
Module 4
Linear Models for Regression
Module 5
Linear Models for Classification
Module 6
Kernel Methods and Support Vector Machines
Module 7
Decision Trees and Ensemble Methods
Module 8
Feedforward Neural Networks
Module 9
Unsupervised Learning: Dimensionality Reduction
Module 10