Date: Mon, 07 Mar 2022 14:00:15 +0000
<p><span style="font-weight: 400;">In 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.</span></p> <p><span style="font-weight: 400;"><a href="https://dataskeptic.com/blog/episodes/2022/power-k-means" rel="noopener" target="_blank">Click here to access additional show notes on our website</a>!</span></p> <p><span style="font-weight: 400;"><strong>Thanks to our Sponsors:<br /></strong><a href="https://t.clear.ml/dataskeptic" rel="noopener" target="_blank">ClearML</a> is an open-source MLOps solution users love to customize, helping you easily Track, Orchestrate, and Automate ML workflows at scale. <a href="https://clear.ml">https://clear.ml</a></span></p> <p><a href="https://workshops.springboard.com/dataskeptic/" rel="noopener" target="_blank"><span style="font-weight: 400;">Springboard</span></a><br /> Springboard offers end-to-end online data career programs that encompass data science, data analytics, data engineering, and machine learning engineering.</p>
