Data Science at Home 

Technology, AI, machine learning and algorithms. Come join the discussion on Discord! https://discord.gg/4UNKGf3

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Title	Date published
A Standard for the Python Array API (Ep. 132)	2020-12-08
What happens to data transfer after Schrems II? (Ep. 131)	2020-12-04
Test-First Machine Learning [RB] (Ep. 130)	2020-12-01
Similarity in Machine Learning (Ep. 129)	2020-11-24
Distill data and train faster, better, cheaper (Ep. 128)	2020-11-17
Machine Learning in Rust: Amadeus with Alec Mocatta [RB] (ep. 127)	2020-11-11
Top-3 ways to put machine learning models into production (Ep. 126)	2020-11-07
Remove noise from data with deep learning (Ep.125)	2020-11-03
What is contrastive learning and why it is so powerful? (Ep. 124)	2020-10-30
Neural search (Ep. 123)	2020-10-23
Let's talk about federated learning (Ep. 122)	2020-10-18
How to test machine learning in production (Ep. 121)	2020-10-11
Why synthetic data cannot boost machine learning (Ep. 120)	2020-09-26
Machine learning in production: best practices [LIVE from twitch.tv] (Ep. 119)	2020-09-16
Testing in machine learning: checking deeplearning models (Ep. 118)	2020-09-04
Testing in machine learning: generating tests and data (Ep. 117)	2020-08-29
Why you care about homomorphic encryption (Ep. 116)	2020-08-12
Test-First machine learning (Ep. 115)	2020-08-03
GPT-3 cannot code (and never will) (Ep. 114)	2020-07-26
Make Stochastic Gradient Descent Fast Again (Ep. 113)	2020-07-22

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