Sveriges mest populära poddar
Data Skeptic
VetenskapTeknologi

Mercedes Benz Machine Learning Research

27 min•14 december 2017

This episode features an interview with Rigel Smiroldo recorded at NIPS 2017 in Long Beach California.  We discuss data privacy, machine learning use cases, model deployment, and end-to-end machine learning.

Fler avsnitt av Data Skeptic

Visa alla avsnitt av Data Skeptic
Book Ratings and Recommendations
•39 min
Disentanglement and Interpretability in Recommender Systems
•31 min
Collective Altruism in Recommender Systems
•55 min
Niche vs Mainstream
•34 min
Healthy Friction in Job Recommender Systems
•27 min
Fairness in PCA-Based Recommenders
•50 min
Video Recommendations in Industry
•38 min
Eye Tracking in Recommender Systems
•52 min
Cracking the Cold Start Problem
•40 min
Designing Recommender Systems for Digital Humanities
•37 min

Data Skeptic med Kyle Polich finns tillgänglig på flera plattformar. Informationen på denna sida kommer från offentliga podd-flöden.