This episode currently has no reviews.
Submit ReviewIn today’s episode, Jason, an Assistant Professor of Statistical Science at Duke University talks about his research on K power means. K power means is a newly-developed algorithm by Jason and his team, that aims to solve the problem of local minima in classical K-means, without demanding heavy computational resources. Listen to find out the outcome of Jason's study.
Click here to access additional show notes on our website!
Thanks to our Sponsors:ClearML is an open-source MLOps solution users love to customize, helping you easily Track, Orchestrate, and Automate ML workflows at scale. https://clear.ml
Springboard Springboard offers end-to-end online data career programs that encompass data science, data analytics, data engineering, and machine learning engineering.
This episode currently has no reviews.
Submit ReviewThis episode could use a review! Have anything to say about it? Share your thoughts using the button below.
Submit Review