Probabilistic Machine Learning: Advanced Topics. Contribute to probml/pml2-book development by creating an account on GitHub. (more…)

How we overhauled our animation workflow with machine learning, teaching physically-based AI-agents to walk on their own. (more…)

The most challenging part of Machine Learning is “optimization”. Gradient Descent is one of the most popular optimization algorithms used… (more…)

Different approaches for improving performance and lowering power in ML systems. (more…)

Creating and maintaining a platform for reliably producing and deploying machine learning models requires careful orchestration of many components—-a learner for generating models based on training data, modules for analyzing and validating both data as w... (more…)