Charna Parkey, Ph.D.

445 Followers

A cultural shift enables the full ML lifecycle

A guide to MLOps for data scientists: Part 4

Nov 16, 2020

A cultural shift enables the full ML lifecycle

Nov 16, 2020

Charna Parkey, Ph.D.

A guide to MLOps for data scientists: Part 3

Processes enable the people

Nov 9, 2020

A guide to MLOps for data scientists: Part 3

Nov 9, 2020

Charna Parkey, Ph.D.

Tools instrument the ML lifecycle

A guide to MLOps for data scientists: Part 2

Nov 9, 2020

Nov 9, 2020

Charna Parkey, Ph.D.

A guide to MLOps for data scientists

Part 1: The continuous ML lifecycle

Aug 11, 2020

Aug 11, 2020

Charna Parkey, Ph.D.
in
Feature Stores for ML

Common problems taking ML from lab to production

A look into disappearing data and degraded performance preventing ML models from shipping

Aug 11, 2020

Common problems taking ML from lab to production

Aug 11, 2020

Charna Parkey, Ph.D.

Spark AI Summit 2020 recap for data scientists

A guide to the three major themes from this year’s Summit: MLOps, feature stores, and deep learning.

Aug 11, 2020

Spark AI Summit 2020 recap for data scientists

Aug 11, 2020

Charna Parkey, Ph.D.

The world is different post election 2016

Pre-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, 2016

A cultural shift enables the full ML lifecycle

A guide to MLOps for data scientists: Part 4

A guide to MLOps for data scientists: Part 3

Processes enable the people

Tools instrument the ML lifecycle

A guide to MLOps for data scientists: Part 2

A guide to MLOps for data scientists

Part 1: The continuous ML lifecycle

Common problems taking ML from lab to production

A look into disappearing data and degraded performance preventing ML models from shipping

Spark AI Summit 2020 recap for data scientists

A guide to the three major themes from this year’s Summit: MLOps, feature stores, and deep learning.

The world *is* different post election 2016

Pre-election it was impossible to predict the vote of people who wouldn’t openly admit they would vote Trump. Post-election these people…

Charna Parkey, Ph.D.

The world is different post election 2016