O'Reilly on Data

MARCH 31, 2020

Machine learning adds uncertainty. The model outputs produced by the same code will vary with changes to things like the size of the training data (number of labeled examples), network training parameters, and training run time. Underneath this uncertainty lies further uncertainty in the development process itself.

Management 332

Management Machine Learning Experimentation Metrics 332

Domino Data Lab

MAY 15, 2019

PMs can leverage that intuition to calibrate the tradeoffs of various approaches given their company’s data “and how it can be used to solve customer problems.” The last step for a PM is to “use derived data from the system to build new products” as this provides another way to ensure ROI across the business.

Machine Learning 111

Machine Learning Management Experimentation Uncertainty 111

Domino Data Lab

JUNE 23, 2019

As a result, Skomoroch advocates getting “designers and data scientists, machine learning folks together and using real data and prototyping and testing” as quickly as possible. And then you’ll do a lot of work to get it out and then there’ll be no ROI at the end. Testing is critical. Transcript.

Management 110

Management Machine Learning Experimentation Metrics 110