Data Science at Home
Data Science at Home
Why sharing real data is dangerous (Ep. 97)
1×
0:00
-10:35

Why sharing real data is dangerous (Ep. 97)

Francesco Gadaleta <frag>
Mar 01, 2020
Share

There are very good reasons why a financial institution should never share their data. Actually, they should never even move their data. Ever.In this episode I explain you why.

0 Comments
Data Science at Home
Data Science at Home
Artificial Intelligence, Machine Learning and Algorithms
Listen on
Substack App
RSS Feed
Appears in episode
Francesco Gadaleta <frag>
Recent Episodes
Distill data and train faster, better, cheaper (Ep. 128)
 • Francesco Gadaleta <frag>
Machine Learning in Rust: Amadeus with Alec Mocatta [RB] (ep. 127)
 • Francesco Gadaleta <frag>
Top-3 ways to put machine learning models into production (Ep. 126)
 • Francesco Gadaleta <frag>
Remove noise from data with deep learning (Ep.125)
 • Francesco Gadaleta <frag>
What is contrastive learning and why it is so powerful? (Ep. 124)
 • Francesco Gadaleta <frag>
Neural search (Ep. 123)
 • Francesco Gadaleta <frag>
Let's talk about federated learning (Ep. 122)
 • Francesco Gadaleta <frag>
How to test machine learning in production (Ep. 121)
 • Francesco Gadaleta <frag>