Linear Digressions

In each episode, your hosts explore machine learning and data science through interesting (and often very unusual) applications.

http://lineardigressions.com

Eine durchschnittliche Folge dieses Podcasts dauert 18m. Bisher sind 303 Folge(n) erschienen. Dieser Podcast erscheint wöchentlich.

Gesamtlänge aller Episoden: 4 days 4 hours 10 minutes

subscribe
share






The Care and Feeding of Data Scientists: Recruiting and Hiring Data Scientists


This week’s episode is the second in a three-part…


share








 November 4, 2019  20m
 
 

The Care and Feeding of Data Scientists: Becoming a Data Science Manager


Data science management isn’t easy, and many data…


share








 October 28, 2019  24m
 
 

Procella: YouTube's super-system for analytics data storage


If you’re trying to manage a project that serves …


share








 October 21, 2019  29m
 
 

Kalman Runners


The Kalman Filter is an algorithm for taking nois…


share








 October 13, 2019  15m
 
 

What's *really* so hard about feature engineering?


Feature engineering is ubiquitous but gets surpri…


share








 October 7, 2019  21m
 
 

Data storage for analytics: stars and snowflakes


If you’re a data scientist or data engineer think…


share








 September 30, 2019  15m
 
 

Data storage: transactions vs. analytics


Data scientists and software engineers both work …


share








 September 23, 2019  16m
 
 

GROVER: an algorithm for making, and detecting, fake news


There are a few things that seem to be very popul…


share








 September 16, 2019  18m
 
 

Data science teams as innovation initiatives


When a big, established company is thinking about…


share








 September 9, 2019  15m
 
 

Can Fancy Running Shoes Cause You To Run Faster?


This is a re-release of an episode that originall…


share








 September 2, 2019  30m