Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep lear... (more…)

FairPut - Fair Machine Learning Outputs (Explainability, Robustness, Fairness) - firmai/fairput... (more…)

Adversarial examples are inputs to machine learning models that an attacker has intentionally designed to cause the model to make a mistake; they're like optical illusions for machines. In this post we'll show how adversarial examples work across differen... (more…)

I am a member of HackCville, a collective of UVA students who are passionate about entrepreneurship, technology, and getting stuff done. This semester, I was a member of the Node, HC’s data science program (I’ll be a node TA next semester! HC is open to e... (more…)

Key features of ML monitoring solutions, why companies need a holistic MLOps platform that includes model monitoring, and challenges companies face in making that happen. By Ben Lorica and Paco Nathan. According to the 2020 Gartner Hype Cycle for Artifici... (more…)