#393: ML Explainability using Amazon SageMake...
Up next
Recommended Episodes
This is the last episode of the series "Embedded ML" and I made it for the bravest :) I speak about machine learning compiler optimization to a much greater detail. Enjoy the episode! Join us on
<span class="s1">Alex Reeves joins us to discuss some of the challenges around building a serverless, scalable, generic machine learning pipeline.<span class= "Apple-converted-space"> </span> The is a technical deep dive on architecting solutions and a discussion of ...
<span class="s1">This episode features an interview with Rigel Smiroldo recorded at NIPS 2017 in Long Beach California.<span class="Apple-converted-space"> </span> We discuss data privacy, machine learning use cases, model deployment, and end-to-end machine learning ...
Machine learning is a class of technologies that promise to revolutionize business. Unfortunately, it can be difficult to identify and execute on ways that it can be used in large companies. Kevin Dewalt founded Prolego ...