Linear Digressions
Un pódcast de Ben Jaffe and Katie Malone
Categorías:
289 Episodo
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The Care and Feeding of Data Scientists: Recruiting and Hiring Data Scientists
Publicado: 4/11/2019 -
The Care and Feeding of Data Scientists: Becoming a Data Science Manager
Publicado: 28/10/2019 -
Kalman Runners
Publicado: 13/10/2019 -
What's *really* so hard about feature engineering?
Publicado: 6/10/2019 -
Data storage for analytics: stars and snowflakes
Publicado: 30/9/2019 -
Data storage: transactions vs. analytics
Publicado: 23/9/2019 -
GROVER: an algorithm for making, and detecting, fake news
Publicado: 16/9/2019 -
Data science teams as innovation initiatives
Publicado: 9/9/2019 -
Can Fancy Running Shoes Cause You To Run Faster?
Publicado: 1/9/2019 -
Organizational Models for Data Scientists
Publicado: 25/8/2019 -
Data Shapley
Publicado: 19/8/2019 -
A Technical Deep Dive on Stanley, the First Self-Driving Car
Publicado: 12/8/2019 -
An Introduction to Stanley, the First Self-Driving Car
Publicado: 5/8/2019 -
Putting the "science" in data science: the scientific method, the null hypothesis, and p-hacking
Publicado: 29/7/2019 -
Interleaving
Publicado: 22/7/2019 -
Federated Learning
Publicado: 14/7/2019 -
Endogenous Variables and Measuring Protest Effectiveness
Publicado: 7/7/2019 -
Deepfakes
Publicado: 1/7/2019 -
Revisiting Biased Word Embeddings
Publicado: 24/6/2019 -
Attention in Neural Nets
Publicado: 17/6/2019
In each episode, your hosts explore machine learning and data science through interesting (and often very unusual) applications.