ML-From-Scratch - Bare bones Python implementations of various Machine Learning models and algorithms. (more…)

Scaling the performance of machine learning frameworks so they can train larger neural networks – or so the same training a lot faster – has meant that the... (more…)

Getting into machine learning (ml) can seem like an unachievable task from the outside.

Perhaps the biggest insight in feature engineering in the last decade was the realization that you could predict a person's behavior by understanding the b... (more…)

Getting labeled training data has become the key development bottleneck in supervised machine learning. We provide a broad, high-level overview of recent weak supervision approaches, where noisier or higher-level supervision is used as a more expedient an... (more…)