Linear Digressions

Linear Digressions

Por: Katie Malone
Linear Digressions is a podcast about machine learning and data science. Machine learning is being used to solve a ton of interesting problems, and to accomplish goals that were out of reach even a few short years ago. 896520
320 episodios disponibles

Latest episodes of the podcast Linear Digressions

Mostrando página 4 de 16

Communicating data science, from academia to industry 30/12/2019
Optimizing for the short-term vs. the long-term 23/12/2019
Interview with Prof. Andrew Lo, on using data science to inform complex business decisions 16/12/2019
Using machine learning to predict drug approvals 08/12/2019
Facial recognition, society, and the law 02/12/2019
Lessons learned from doing data science, at scale, in industry 25/11/2019
Varsity A/B Testing 18/11/2019
The Care and Feeding of Data Scientists: Growing Careers 11/11/2019
The Care and Feeding of Data Scientists: Recruiting and Hiring Data Scientists 04/11/2019
The Care and Feeding of Data Scientists: Becoming a Data Science Manager 28/10/2019
Procella: YouTube's super-system for analytics data storage 21/10/2019
Kalman Runners 13/10/2019
What's *really* so hard about feature engineering? 06/10/2019
Data storage for analytics: stars and snowflakes 30/09/2019
Data storage: transactions vs. analytics 23/09/2019
GROVER: an algorithm for making, and detecting, fake news 16/09/2019
Data science teams as innovation initiatives 09/09/2019
Can Fancy Running Shoes Cause You To Run Faster? 01/09/2019
Organizational Models for Data Scientists 25/08/2019
Data Shapley 19/08/2019
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