Data Science at Home
En podkast av Francesco Gadaleta
Kategorier:
254 Episoder
-
Is Rust flexible enough for a flexible data model? (Ep. 137)
Publisert: 1.2.2021 -
Is Apple M1 good for machine learning? (Ep.136)
Publisert: 25.1.2021 -
Rust and deep learning with Daniel McKenna (Ep. 135)
Publisert: 18.1.2021 -
Scaling machine learning with clusters and GPUs (Ep. 134)
Publisert: 31.12.2020 -
What is data ethics? (Ep. 133)
Publisert: 19.12.2020 -
A Standard for the Python Array API (Ep. 132)
Publisert: 8.12.2020 -
What happens to data transfer after Schrems II? (Ep. 131)
Publisert: 4.12.2020 -
Test-First Machine Learning [RB] (Ep. 130)
Publisert: 1.12.2020 -
Similarity in Machine Learning (Ep. 129)
Publisert: 24.11.2020 -
Distill data and train faster, better, cheaper (Ep. 128)
Publisert: 17.11.2020 -
Machine Learning in Rust: Amadeus with Alec Mocatta [RB] (ep. 127)
Publisert: 11.11.2020 -
Top-3 ways to put machine learning models into production (Ep. 126)
Publisert: 7.11.2020 -
Remove noise from data with deep learning (Ep.125)
Publisert: 3.11.2020 -
What is contrastive learning and why it is so powerful? (Ep. 124)
Publisert: 30.10.2020 -
Neural search (Ep. 123)
Publisert: 23.10.2020 -
Let's talk about federated learning (Ep. 122)
Publisert: 18.10.2020 -
How to test machine learning in production (Ep. 121)
Publisert: 11.10.2020 -
Why synthetic data cannot boost machine learning (Ep. 120)
Publisert: 26.9.2020 -
Machine learning in production: best practices [LIVE from twitch.tv]
Publisert: 16.9.2020 -
Testing in machine learning: checking deeplearning models (Ep. 118)
Publisert: 4.9.2020
Artificial Intelligence, algorithms and tech tales that are shaping the world