Linear Digressions
En podkast av Ben Jaffe and Katie Malone
Kategorier:
289 Episoder
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The Care and Feeding of Data Scientists: Recruiting and Hiring Data Scientists
Publisert: 4.11.2019 -
The Care and Feeding of Data Scientists: Becoming a Data Science Manager
Publisert: 28.10.2019 -
Kalman Runners
Publisert: 13.10.2019 -
What's *really* so hard about feature engineering?
Publisert: 6.10.2019 -
Data storage for analytics: stars and snowflakes
Publisert: 30.9.2019 -
Data storage: transactions vs. analytics
Publisert: 23.9.2019 -
GROVER: an algorithm for making, and detecting, fake news
Publisert: 16.9.2019 -
Data science teams as innovation initiatives
Publisert: 9.9.2019 -
Can Fancy Running Shoes Cause You To Run Faster?
Publisert: 1.9.2019 -
Organizational Models for Data Scientists
Publisert: 25.8.2019 -
Data Shapley
Publisert: 19.8.2019 -
A Technical Deep Dive on Stanley, the First Self-Driving Car
Publisert: 12.8.2019 -
An Introduction to Stanley, the First Self-Driving Car
Publisert: 5.8.2019 -
Putting the "science" in data science: the scientific method, the null hypothesis, and p-hacking
Publisert: 29.7.2019 -
Interleaving
Publisert: 22.7.2019 -
Federated Learning
Publisert: 14.7.2019 -
Endogenous Variables and Measuring Protest Effectiveness
Publisert: 7.7.2019 -
Deepfakes
Publisert: 1.7.2019 -
Revisiting Biased Word Embeddings
Publisert: 24.6.2019 -
Attention in Neural Nets
Publisert: 17.6.2019
In each episode, your hosts explore machine learning and data science through interesting (and often very unusual) applications.
