Charna Parkey, Ph.D.A cultural shift enables the full ML lifecycleA guide to MLOps for data scientists: Part 4Nov 16, 2020Nov 16, 2020
Charna Parkey, Ph.D.A guide to MLOps for data scientists: Part 3Processes enable the peopleNov 9, 2020Nov 9, 2020
Charna Parkey, Ph.D.Tools instrument the ML lifecycleA guide to MLOps for data scientists: Part 2Nov 9, 2020Nov 9, 2020
Charna Parkey, Ph.D.A guide to MLOps for data scientistsPart 1: The continuous ML lifecycleAug 11, 2020Aug 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 shippingAug 11, 2020Aug 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.Aug 11, 2020Aug 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…Nov 11, 2016Nov 11, 2016