Data Science at Home
En podkast av Francesco Gadaleta
268 Episoder
-
MLOps: what is and why it is important Part 2 (Ep. 152)
Publisert: 19.5.2021 -
MLOps: what is and why it is important (Ep. 151)
Publisert: 11.5.2021 -
Can I get paid for my data? With Mike Andi from Mytiki (Ep. 150)
Publisert: 28.4.2021 -
Building high-growth data businesses with Lillian Pierson (Ep. 149)
Publisert: 19.4.2021 -
Learning and training in AI times (Ep. 148)
Publisert: 13.4.2021 -
You are the product [RB] (Ep. 147)
Publisert: 11.4.2021 -
Polars: the fastest dataframe crate in Rust - with Ritchie Vink (Ep. 146)
Publisert: 8.4.2021 -
Apache Arrow, Ballista and Big Data in Rust with Andy Grove (Ep. 145)
Publisert: 26.3.2021 -
Pandas vs Rust (Ep. 144)
Publisert: 19.3.2021 -
Concurrent is not parallel - Part 2 (Ep. 143)
Publisert: 13.3.2021 -
Concurrent is not parallel - Part 1 (Ep. 142)
Publisert: 10.3.2021 -
Backend technologies for machine learning in production (Ep. 141)
Publisert: 2.3.2021 -
How to reinvent banking and finance with data and technology (Ep. 139)
Publisert: 15.2.2021 -
What's up with WhatsApp? (Ep. 138)
Publisert: 7.2.2021 -
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
Artificial Intelligence, algorithms and tech tales that are shaping the world. Hype not included.