Sveriges mest populära poddar
Data Skeptic
VetenskapTeknologi

MiniRocket

26 min•6 september 2021

Angus Dempster, PhD Student at Monash University in Australia, comes on today to talk about MINIROCKET: A Very Fast (Almost) Deterministic Transform for Time Series Classification, a fast deterministic transform for time series classification. MINIROCKET reformulates ROCKET, gaining a 75x improvement on larger datasets with essentially the same performance. In this episode, we talk about the insights that realized this speedup as well as use cases.

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.