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Data Science at Home

Por: Francesco Gadaleta

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

297 episodios disponibles

Latest episodes of the podcast Data Science at Home

Mostrando página 9 de 15

Scaling machine learning with clusters and GPUs (Ep. 134) 31/12/2020

What is data ethics? (Ep. 133) 19/12/2020

A Standard for the Python Array API (Ep. 132) 08/12/2020

What happens to data transfer after Schrems II? (Ep. 131) 04/12/2020

Test-First Machine Learning [RB] (Ep. 130) 01/12/2020

Similarity in Machine Learning (Ep. 129) 24/11/2020

Distill data and train faster, better, cheaper (Ep. 128) 17/11/2020

Machine Learning in Rust: Amadeus with Alec Mocatta [RB] (ep. 127) 11/11/2020

Top-3 ways to put machine learning models into production (Ep. 126) 07/11/2020

Remove noise from data with deep learning (Ep.125) 03/11/2020

What is contrastive learning and why it is so powerful? (Ep. 124) 30/10/2020

Neural search (Ep. 123) 23/10/2020

Let's talk about federated learning (Ep. 122) 18/10/2020

How to test machine learning in production (Ep. 121) 11/10/2020

Why synthetic data cannot boost machine learning (Ep. 120) 26/09/2020

Machine learning in production: best practices [LIVE from twitch.tv] (Ep. 119) 16/09/2020

Testing in machine learning: checking deeplearning models (Ep. 118) 04/09/2020

Testing in machine learning: generating tests and data (Ep. 117) 29/08/2020

Why you care about homomorphic encryption (Ep. 116) 12/08/2020

Test-First machine learning (Ep. 115) 03/08/2020

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