Machine Learning

Description

Homeworks and labs of the Machine Learning 1

Machine Learning 1W

Labs

Polynomial Regression and Bayesian Regression

Polynomial Regression	Bayesian Regression

Multi-Class Logistic Regression and Multilayer Perceptrons

Problem statement and Solution

Learned Weights for single-layer MLP	Learned Weights for Logistic Regression

Gaussian Processes and Support Vector Machines

Problem statement and Solution

Gaussian Process Regression

SVM Classification

Testing

Refer to each notebook name and run Jupyter notebook with a following command:

jupyter notebook #notebook#.ipynb

Dependencies

Numpy
Matplotlib
Scipy
IPython Notebook

Copyright

This project is distributed under the MIT license. This was developed as part of the courses Machine Learning 1 and Machine Learning 2 taught by Rianne van den Berg, Max Welling, Patrick Forré and Joris Mooij at the University of Amsterdam. Please follow the UvA regulations governing Fraud and Plagiarism in case you are a student.

mhashas/ml1-assignments