aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

The fastai deep learning library

The fastest way to create an HTML app

fast.ai Courses

Text and supporting code for Think Stats, 2nd Edition

An interactive book on deep learning. Much easy, so MXNet. Wow. [Straight Dope is growing up] ---> Much of this content has been incorporated into the new Dive into Deep Learning Book available at …

A clear, concise, simple yet powerful and efficient API for deep learning.

A concise, beginner-friendly introduction to the core ideas of linear algebra.

Amazon Bedrock Agentcore accelerates AI agents into production with the scale, reliability, and security, critical to real-world deployment.

Companion site for the textbook Quantum Computing: An Applied Approach

Notebooks for MXNet

Advanced Data Structures Implementation

Notebooks and examples on how to onboard and use various features of Amazon Forecast.

Code accompanying the Real-World Machine Learning book

A step-by-step guide that shows how to do text classification by run training/inference for a custom model in Amazon SageMaker

An all-in-one Deep Learning toolkit for image classification to fine-tuning pretrained models using MXNet.

Tutorial materials for SageMaker 101