Code for the Machine Learning 1 course of the MSc in Artificial Intelligence at the University of Amsterdam.

Polynomial Regression, Tikhonov Regularization, k-fold cross validation, Bayesian linear regression

• Assignment and Solutions

Polynomial Regression

Multi-class logistic regression with stochatic gradient descent, Multi-layer perceptrons, MAP optimization,

• Assignment and Solutions

MNIST Learned weights

Gaussian processes, sampling, predictive distribution, hyperparameter learning

• Assignment and Solutions

Gaussian Process Regression

Refer to each lab and run the iPython notebook as follows.

jupyter notebook $notebook_name$.ipynb

Python 2.7: Matplotlib, NumPy, SciPy, gzip, cPickle

• Dana Kianfar
• Mircea Mironenco

Copyright © 2017 Dana Kianfar and Mircea Mironenco.

This project is distributed under the MIT license. Please review the UvA regulations governing Fraud and Plagiarism in case you are a student at the UvA.