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

from Data Science at Home · host Francesco Gadaleta <frag>

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 meJoin us on Discord community chat to discuss the show, suggest new episodes and chat with other listeners! Sponsored by Amethix TechnologiesAmethix 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. LinksAmethix Embedded Machine Learninghttps://tvm.apache.org/ This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit datascienceathome.substack.com

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This episode was published on February 3, 2022.

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