Machine learning conferences have always played an important role in the world of data science. They're a place to announce new research, discuss current issues, and connect with the community. They also help to promote new areas of research and developme... (more…)

Much advocacy of Haskell, in general, boils down to type-safety and elimination of bugs. How boring. My personal experience is that bugs are trickier in Haskell and I can write bad code in an extraordinary variety of ways. I don’t code in Haskell to help ... (more…)

A comparison (and video demonstration) showing how Zebrium ZELK Stack machine learning compares to Elastic ML Anomaly Detection for logs and metrics. (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…)

smallplanet_Pinball - An experiment in using machine vision, deep learning, and CoreML to allow an iPhone to play a real pinball machine. (more…)