How To Do Post-Production with Abhilash Pattnaik - ML 062
Adventures in Machine Learning18 Helmi 2022

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 Sponsors Links Special Guest: Abhilash Pattnaik.Sponsored By:

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ML 001: The Adventures in Machine Learning First Steps

ML 001: The Adventures in Machine Learning First Steps

In this first episode of Adventures in Machine Learning the panel talks about what machine learning is and what the podcast is about. Machine learning is rapidly becoming the future for many industries like banking, telecommunications, advertisements, etc. Yet there are so many subjects involved with it that novices may find it intimidating to get into, let alone start with. Sponsor Machine Learning for Software Engineers by Educative.ioCacheFly Panel Charles Max WoodGant LabordeEric Chalmers Links We fired our top talent. Best decision we ever madehttps://www.coursera.org/learn/machine-learning Picks Eric Chalmers: Rodney Brooks: Robots, AI, and other stuff Gant Laborde: Beginning Machine Learning with TensorFlow.js Charles Max Wood: The Dev Rev Follow Adventures in Machine Learning on Twitter > @DevChatTVAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacyBecome a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.

8 Syys 202025min

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