Learn how to design, develop, deploy and iterate on production-grade ML applications.

⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

A collection of various deep learning architectures, models, and tips

Your new Mentor for Data Science E-Learning.

Companion webpage to the book "Mathematics For Machine Learning"

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K…

🔥 Machine Learning Notebooks

Open Content for self-directed learning in data science

A collection of IPython notebooks covering various topics.

Resources for "Introduction to Deep Learning" course.

This repository is a supplement to the 'Machine Learning Simplified: A Gentle Introduction to Supervised Learning' book.

This is a tutorial to connect the fundamental mathematics to a practical implementation addressing the continual learning problem of artificial intelligence

Designing Deep neural network architectures using topologies from the world of Complex Networks/network Science