Presented By
O’Reilly + Cloudera
Make Data Work
29 April–2 May 2019
London, UK
Eitan Anzenberg

Eitan Anzenberg
Chief Data Scientist, Flowcast AI

Website

Eitan Anzenberg is the chief data scientist at Flowcast AI, a seed-stage fintech startup in San Francisco. He leads the company’s data science efforts including machine learning explanations, interpretability, and what-if scenario analysis. His background is in machine learning, statistical learning, and programming. Eitan holds a PhD in physics from Boston University, which he followed with a postdoc at the Lawrence Berkeley National Lab.

Sessions

14:5515:35 Wednesday, 1 May 2019
Data Science, Machine Learning & AI
Location: Capital Suite 15/16
Secondary topics:  Ethics, Financial Services, Health and Medicine
Eitan Anzenberg (Flowcast AI)
Machine learning applications balance interpretability and performance. Linear models provide formulas to directly compare the influence of the input variables, while nonlinear algorithms produce more accurate models. Eitan Anzenberg explores a solution that utilizes what-if scenarios to calculate the marginal influence of features per prediction and compare with standardized methods such as LIME. Read more.