Presentation: Why Most Machine Learning Projects Fail to Reach Production and How to Beat the Odds
Wenjie Zi discusses common pitfalls that cause these failures, such as the inherent uncertainty of machine learning, misaligned optimization objectives, and skill gaps among practitioners.
By Wenjie Zi
https://www.infoq.com/presentations/ml-pitfalls/?utm_campaign=infoq_content&utm_source=infoq&utm_medium=feed&utm_term=.NET
Post #9285
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