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
Apache Arrow, Ballista and Big Data in Rust with Andy Grove (Ep. 145)	2021-03-26
Pandas vs Rust (Ep. 144)	2021-03-19
Concurrent is not parallel - Part 2 (Ep. 143)	2021-03-13
Concurrent is not parallel - Part 1 (Ep. 142)	2021-03-10
Backend technologies for machine learning in production (Ep. 141)	2021-03-02
You are the product (Ep. 140)	2021-02-22
How to reinvent banking and finance with data and technology (Ep. 139)	2021-02-15
What's up with WhatsApp? (Ep. 138)	2021-02-07
Is Rust flexible enough for a flexible data model? (Ep. 137)	2021-02-01
Is Apple M1 good for machine learning? (Ep.136)	2021-01-25
Rust and deep learning with Daniel McKenna (Ep. 135)	2021-01-18
Scaling machine learning with clusters and GPUs (Ep. 134)	2020-12-31
What is data ethics? (Ep. 133)	2020-12-19
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

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