Skip to main content

From Predictions to Decisions

May 17, 2021
LinkedInFacebookTwitterCopy

Dan Becker deep dives into the intersection of decision sciences and machine learning, how data teams can go from experimentation and deployment to providing value at scale for organizations, and more!

View Transcript

About Dan Becker

Photo of Dan Becker

Dan Becker became a professional data scientist in 2012 when he finished 2nd (out of 1353 teams) in a Kaggle competition with a $3Million grand prize. Since then, he's consulted for 6 companies in the Fortune 100, served as product director in the early days of DataRobot and worked at Google. Dan has also made open source contributions to Keras and TensorFlow.

Dan thinks simulation and decision theory will be as important in the next five years as deep learning has been in the past five years, and he founded Decision AI to help data scientists use these techniques.

Photo of Adel Nehme
Meet our host
Adel Nehme

Adel is a Data Science educator, speaker, and Evangelist at DataCamp where he has released various courses and live training on data analysis, machine learning, and data engineering. He is passionate about spreading data skills and data literacy throughout organizations and the intersection of technology and society. He has an MSc in Data Science and Business Analytics. In his free time, you can find him hanging out with his cat Louis.


← Back to podcast