#41875
Mentioned in 1 episodes
Deep Learning with Structured Data
Book • 2020
Deep Learning with Structured Data teaches powerful data analysis techniques for tabular data and relational databases.
It shows how deep learning can be used to identify complex patterns in structured data, augmenting existing machine learning and business intelligence systems.
The book uses a dataset based on the Toronto transit system to illustrate practical applications and addresses production concerns like deployment and performance monitoring.
It shows how deep learning can be used to identify complex patterns in structured data, augmenting existing machine learning and business intelligence systems.
The book uses a dataset based on the Toronto transit system to illustrate practical applications and addresses production concerns like deployment and performance monitoring.
Mentioned by
Mentioned in 1 episodes
His PhD thesis, discussed in the episode, focuses on structured inputs and outputs, involving ideas from polyhedral combinatorics and optimization.
[04] Sebastian Nowozin - Learning with Structured Data: Applications to Computer Vision
Mentioned by 
Sam Charrington
Deep Learning with Structured Data w/ Mark Ryan - #301
