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
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
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

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