The identified guiding principles can inform the development of good machine learning practices to promote safe, effective, and high-quality medical devices.

We’re on a journey to advance and democratize artificial intelligence through open source and open science.

Uber Engineering introduces Michelangelo, our machine learning-as-a-service system that enables teams to easily build, deploy, and operate ML solutions at scale.

Machine learning (ML) offers tremendous opportunities to increase productivity. However, ML systems are only as good as the quality of the data that informs the training of ML models. And training ML models requires a significant amount of data, more than…

Terry Tao entitled his 2006 Fields Medal Lecture  “The Dichotomy between structure and randomness” and state the Structure Theorem: Every ob…

A project-based course on the foundations of MLOps to responsibly develop, deploy and maintain ML. – GitHub – GokuMohandas/mlops-course: A project-based course on the foundations of MLOps to respon…

Machine Learning and Causal Inference taught by Brigham Frandsen – GitHub – Mixtape-Sessions/Machine-Learning: Machine Learning and Causal Inference taught by Brigham Frandsen…

These books had a great impact in my career as a Data Scientist when I was a beginner in Machine Learning. They could help you too.

I present my recollections of Richard Feynman’s mid-1980s interest in artificial intelligence and neural networks, set in the technical context of the physics-related approaches to neural networks of that time. I attempt to evaluate his ideas in the light…