Charna Parkey, Ph.D.A cultural shift enables the full ML lifecycleA guide to MLOps for data scientists: Part 44 min read·Nov 16, 2020----
Charna Parkey, Ph.D.A guide to MLOps for data scientists: Part 3Processes enable the people4 min read·Nov 9, 2020----
Charna Parkey, Ph.D.Tools instrument the ML lifecycleA guide to MLOps for data scientists: Part 25 min read·Nov 9, 2020----
Charna Parkey, Ph.D.A guide to MLOps for data scientistsPart 1: The continuous ML lifecycle4 min read·Aug 11, 2020----
Charna Parkey, Ph.D.inFeature Stores for MLCommon problems taking ML from lab to productionA look into disappearing data and degraded performance preventing ML models from shipping4 min read·Aug 11, 2020----
Charna Parkey, Ph.D.Spark AI Summit 2020 recap for data scientistsA guide to the three major themes from this year’s Summit: MLOps, feature stores, and deep learning.5 min read·Aug 11, 2020----
Charna Parkey, Ph.D.The world *is* different post election 2016Pre-election it was impossible to predict the vote of people who wouldn’t openly admit they would vote Trump. Post-election these people…2 min read·Nov 11, 2016----