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
What data transformation library should I use? Pandas vs Dask vs Ray vs Modin vs Rapids (Ep. 112)	2020-07-19
[RB] It’s cold outside. Let’s speak about AI winter (Ep. 111)	2020-07-03
Rust and machine learning #4: practical tools (Ep. 110)	2020-06-29
Rust and machine learning #3 with Alec Mocatta (Ep. 109)	2020-06-22
Rust and machine learning #2 with Luca Palmieri (Ep. 108)	2020-06-19
Rust and machine learning #1 (Ep. 107)	2020-06-17
Protecting workers with artificial intelligence (with Sandeep Pandya CEO Everguard.ai)(Ep. 106)	2020-06-15
Compressing deep learning models: rewinding (Ep.105)	2020-06-01
Compressing deep learning models: distillation (Ep.104)	2020-05-20
Pandemics and the risks of collecting data (Ep. 103)	2020-05-08
Why average can get your predictions very wrong (ep. 102)	2020-04-19
Activate deep learning neurons faster with Dynamic RELU (ep. 101)	2020-04-01
WARNING!! Neural networks can memorize secrets (ep. 100)	2020-03-23
Attacks to machine learning model: inferring ownership of training data (Ep. 99)	2020-03-14
Don't be naive with data anonymization (Ep. 98)	2020-03-08
Why sharing real data is dangerous (Ep. 97)	2020-03-01
Building reproducible machine learning in production (Ep. 96)	2020-02-22
Bridging the gap between data science and data engineering: metrics (Ep. 95)	2020-02-14
A big welcome to Pryml: faster machine learning applications to production (Ep. 94)	2020-02-07
It's cold outside. Let's speak about AI winter (Ep. 93)	2019-12-31

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