Domino Data Lab

JULY 22, 2019

why data governance, in the context of machine learning is no longer a “dry topic” and how the WSJ’s “global reckoning on data governance” is potentially connected to “premiums on leveraging data science teams for novel business cases”. I am honored to be able to present here and thrilled to have been involved in Rev. Back to my talk.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

Occam's Razor

AUGUST 13, 2012

I've categorized the questions and answers into four distinct categories: The "really difficult," "oh that's not so bad," "omg that's easy" and the "unknown unknowns." They also reveal things that starting to become scary (Privacy! EU Cookies!) Just the questions total up to 1,353 words.

Modeling 124

Modeling Metrics Data Quality Data-driven 124

Domino Data Lab

AUGUST 26, 2019

First, I want you to see a concrete analogy between (1) how we write simple Python functions in different ways by varying their code and arguments and (2) how learning models use parameters and hyperparameters. Models are at the heart of of data science and increasing predictive accuracy of models is a core expectation upon industry.

Testing 79

Testing Modeling Machine Learning Metrics 79

Jet Global

MAY 1, 2023

The Definitive Guide to Embedded Analytics is designed to answer any and all questions you have about the topic. The Definitive Guide to Embedded Analytics is designed to answer any and all questions you have about the topic. It will show you what embedded analytics are and how they can help your company.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52