We present a brief history of the field of interpretable machine learning (IML), give an overview of state-of-the-art interpretation methods, and discuss challenges. Research in IML has boomed in recent years. As young as the field is, it has over 200 yea... (more…)

A breathtaking thriller about trying to do the seemingly impossible... (more…)

Today Lyft is excited to announce the open sourcing of Flyte, a structured programming and distributed processing platform for highly… (more…)

News and insights on Google platforms, tools, and events. (more…)

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming. - EpistasisLab/tpot... (more…)