Dr. Kevin S. Van Horn joins the podcast to discuss Bayesian probability, ML optimization, and lessons from his career. He shares insights on NP-hard problems in ML, Bayesian methods, and how to ensure success in ML projects.
 
<h3>Resources & Links:</h3>
Kevin’s Newsletter: <a href="https://epistemicprobability.substack.com/">https://epistemicprobability.substack.com/ </a> Jaynes' Book on Bayesian Probability: <a href="https://amzn.to/42GFOKu">https://amzn.to/42GFOKu</a>

Dr. Kevin S. Van Horn joins the podcast to discuss Bayesian probability, ML optimization, and lessons from his career. He shares insights on NP-hard problems in ML, Bayesian methods, and how to ensure success in ML projects. Resources & Links: Kevin’s Newsletter: https://epistemicprobability.substack.com/ Jaynes' Book on Bayesian Probability: https://amzn.to/42GFOKu

Dr. Kevin S. Van Horn joins the podcast to discuss Bayesian probability, ML optimization, and lessons from his career. He shares insights on NP-hard problems in ML, Bayesian methods, and how to ensure success in ML projects.
&nbsp;
Resources &amp; Links:
Kevin’s Newsletter: <a href="https://epistemicprobability.substack.com/" rel="noopener noreferrer">https://epistemicprobability.substack.com/ </a> Jaynes' Book on Bayesian Probability: <a href="https://amzn.to/42GFOKu" rel="noopener noreferrer">https://amzn.to/42GFOKu</a>&nbsp;

Kevin Van Horn - Following Jaynes and Why Fundamentals Matter

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Join MLE Path, the podcast that explores what it truly means to grow and thrive as a machine learning engineer. Hosted by an industry veteran with over 14 years of experience—including leadership roles at Adobe, Twitter, and Meta—this podcast brings you candid conversations with senior ML engineers at the forefront of the field. Together, we uncover the skills, strategies, and insights that define excellence in machine learning engineering at every career stage. From navigating technical challenges to mastering leadership and innovation, MLE Path provides actionable advice and thought-provoking discussions to help you elevate your career, whether you’re a rising ML engineer or a seasoned professional. This is your guide to continuous growth and impact in the ever-evolving world of machine learning.

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Kevin Van Horn - Following Jaynes and Why Fundamentals Matter

Kevin Van Horn - Following Jaynes and Why Fundamentals Matter