Embedded Machine Learning: Part 1 (Ep.182)

<p style="text-align:left;">This episode is the first of a series about Embedded Machine Learning. I explain the requirements of tiny devices and how it is possible to run machine learning models.</p> <p style="text-align:left;"> </p> <p>Join us on <a href='https://discord.com/invite/4UNKGf3'>Discord</a> community chat to discuss the show, suggest new episodes and chat with other listeners!</p> <p style="text-align:left;"> </p> <p style="text-align:left;">Sponsored by Amethix Technologies</p> <p><a href='https://amethix.com'>Amethix</a> 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.</p> <p> </p> <p> </p> References <p><a href='https://datascienceathome.com/compressing-deep-learning-models-distillation-ep-104/'>https://datascienceathome.com/compressing-deep-learning-models-distillation-ep-104/</a></p> <p> </p>