Embedded Machine Learning: Part 5 - Machine Learning Compiler Optimization (Ep. 186)

Episode 186 of the Data Science at Home podcast, hosted by Francesco Gadaleta, titled "Embedded Machine Learning: Part 5 - Machine Learning Compiler Optimization (Ep. 186)" was published on February 3, 2022 and runs 49 minutes.

February 3, 2022 ·49m · Data Science at Home

Summary

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!   Chat with me Join us on Discord community chat to discuss the show, suggest new episodes and chat with other listeners!   Sponsored by Amethix Technologies Amethix use advanced Artificial Intelligence and Machine Learning to build data platforms and predictive engines in domain like finance, healthcare, pharmaceuticals, logistics, energy. Amethix provide solutions to collect and secure data with higher transparency and disintermediation, and build the statistical models that will support your business.   Links Amethix Embedded Machine Learning https://tvm.apache.org/

Episode Description