ML Investment Challenges
Enterprises face significant hurdles in extracting value from machine learning investments, particularly when dealing with limited data outside of consumer tech. The disconnect between model performance on test sets and real-world applications often leads to frustration, highlighting the need for a shift in focus from merely achieving high accuracy to creating effective products that meet business needs.In this clip
From this podcast
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
LIVE FROM TWIMLcon! Overcoming the Barriers to Deep Learning in Production with Andrew Ng - #304
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