The homework assignments of 'Machine Learning' from Stanford University in Coursera
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Updated
Feb 17, 2017 - MATLAB
The homework assignments of 'Machine Learning' from Stanford University in Coursera
Machine Learning Algorithms from scratch
📓 Chapter summaries adapted from the textbook "Understanding Machine Learning"
ML course project: investigation on common perceptions of same neural network model with different random seed
Reproducing the results in "Implicit Regularization in ReLU Networks with the Square Loss" using Matlab
Learn the theory, math and code behind different machine learning algorithms and techniques.
My personal projects of re-learning machine learning and deep learning algorithms
A classified list of meta learning papers based on realm.
Implementation of a simple Decision Tree Classifier, entirely made in Swift
AI labs - solutions
Notes prepared for seminars, compiled from books, or taken in classes are included in this repository. There might be some notes prepared by other seminar participants, which are labelled accordingly.
Towards understanding Machine Learning theory in 69 days :)
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