Person

Dan Becker

Dan Becker's DataTalks.Club podcast discussions, organized for topic exploration.

Dan Becker

Background

Dan started his data science career by finishing 2nd (out of 1353 teams) in a kaggle competition with a $500,000 grand prize. Since then, he’s worked as a data scientist at Google and was Product Director in the early days of DataRobot.

Podcast Discussions

• Optimize Decisions with ML: Prescriptive & Robust Optimization for Supply Chain and Pricing. Discussed: Gap: Machine Learning Predictions vs. Real-World Decisions; Prescriptive Analytics: Role in ML Pipelines; Formulating Optimization Problems: Objectives and Constraints; Modeling Uncertainty: Robust and Stochastic Optimization. Related topics: machine learning, decision optimization.