AI Learning & Guides

This Coursera course teaches supervised machine learning, regression, and classification with Python.

AWS Educate gives students and educators no-cost cloud computing skills training and career pathways.

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

UC Berkeley Law provides generative AI resources for faculty and staff.

ML-From-Scratch shares accessible NumPy implementations of machine learning models, from linear regression to deep learning.

Analytics Vidhya’s DataHack platform offers data science challenges, hackathons, and learning resources.

This repository contains code samples for the book Neural Networks and Deep Learning.

Aman’s AI Journal collects seminal research papers and course notes for artificial intelligence and deep learning.

NN Visual lets users configure and train neural networks while viewing layer activations and learning steps.

Notebooks and code for the book "Introduction to Machine Learning with Python".

nbshare provides notebooks and learning materials for data analytics with Python and R.

The OpenAI Cookbook provides examples and guides for using the OpenAI API.

This repository contains more than 50 tutorials and implementations for generative AI agent techniques.

This course teaches how to build neural networks from scratch in code.

This repository provides a roadmap to becoming an artificial intelligence expert.

TutorialSearch searches and compares online tutorials and courses across learning platforms.

This repository collects tutorials and examples for learning machine learning and pattern classification.

Stanford CS336 provides course schedules, assignments, and materials for language modeling from scratch.

The Wren AI Journal publishes guides on text-to-SQL, agentic analytics, and self-hosted deployment.

Azure for Students provides cloud services, developer tools, and credits for building apps and exploring AI.

This article introduces Matryoshka embedding models and provides an educational overview.

Udacity’s Introduction to Machine Learning course covers foundational machine learning and data analysis.

This repository provides a tutorial implementation of AutoML for batch and online learning.

Spinning Up provides documentation and learning resources for deep reinforcement learning.