Machine Learning is growing in leaps and bounds both in capability and adoption. Listen to our experts discuss the ideas and fundamentals needed to succeed as a Machine Learning Engineer.
How To Do Post-Production with Abhilash Pattnaik - ML 062
If you’re feeling a little nervous about your baby leaving the nest, we get it. In this episode, Ben and Daniel talk with Abhilash Pattnaik, where they discuss the ONE fact about ML you can’t forget, the do’s and don’ts about applying alerts, and the often-forgotten truth about data drift.
“Machine learning models are not static; they are dynamic.”
- Abhilash Pattnaik
In This Episode:
1) This one UNFORGETTABLE fact for anyone entering the machine learning world (especially if you have little experience)
2) What you NEED to remember about how to measure data accuracy and relevance
3) The Do’s and Don’ts of applying alerts within your models (and how NOT to make it problematic)
4) The often-ignored truth around data drift and why companies react well or poorly
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Special Guest: Abhilash Pattnaik.
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