The topic of how to approach Machine Learning (ML) based projects has come up many times over the past several years speaking to many in the field and industry. One of the fundamental aspects of ML… (more…)

A Google veteran’s new firm uses artificial intelligence to send employees ‘nudges’ to prod them toward changes likely to produce a happier workforce... (more…)

January 31, 2017 - Zoubin Ghahramani of University of Cambridge presents, "Probabilistic Machine Learning: Foundations and Frontiers" at the 2017 Raymond and... (more…)

AutoTiKV is a machine-learning-based tuning tool that helps decrease tuning costs and make life easier for DBAs. This post shows AutoTiKV's design, its machine learning model, and the automatic tuning workflow. (more…)

Having been at the forefront of machine learning since the 1980s when I was a staff scientist in the Theoretical Division at Los Alamos performing basic re... (more…)