A classified list of meta learning papers based on realm.

Learn the theory, math and code behind different machine learning algorithms and techniques.

ML course project: investigation on common perceptions of same neural network model with different random seed

📓 Chapter summaries adapted from the textbook "Understanding Machine Learning"

A growing list of papers, books, courses and blogs related to machine learning theory and optimization

Implementation is to use gradient descent to find the optimal values of θ that minimize the cost function.

Towards understanding Machine Learning theory in 69 days :)

My personal projects of re-learning machine learning and deep learning algorithms

AI labs - solutions

Implementation of a simple Decision Tree Classifier, entirely made in Swift

The homework assignments of 'Machine Learning' from Stanford University in Coursera

Reproducing the results in "Implicit Regularization in ReLU Networks with the Square Loss" using Matlab

Machine Learning Algorithms from scratch