Statistical Methods in Artificial Intelligence

Assignment 1: K-Nearest Neighbours, Linear Regression, Regularization

Spotify Dataset	Regression Curve Fit	L2 Regularization

Assignment 2: K-Means, Gaussian Mixture Model, Principal Component Analysis, Hierarchical Clustering

K-Means	Gaussian Mixture Model	Hierarchical Clustering

Assignment 3: Multi Layer Perceptron, AutoEncoders

Activation Function	Learning Rate	Batch Size

Assignment 4: CNN Classification and Autoencoder

PCA Representation	CNN Representation	CNN Reconstruction

Assignment 5: Kernel Density Estimation, Hidden Markov Models, Recurrent Neural Networks

Kernel Density Estimation	MFCC Representation	Recurrent Neural Network