
Top-3 ways to put machine learning models into production (Ep. 126)
Gospel Hypers
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<p>Come join me in our <a href='https://discord.gg/4UNKGf3'>Discord</a> channel speaking about all things data science.</p> <p>Follow me on <a href='https://www.twitch.tv/codingossip'>Twitch</a> during my live coding sessions usually in Rust and Python</p> Our Sponsors <ul><li><a href='http://physicspodcast.com'>physicspodcast.com</a> is not just a physics podcast. But also interviews with scientists, scholars, authors and reflections on the history and future of science and technology are all in the wheelhouse.</li> <li><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.</li> </ul>
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Top-3 ways to put machine learning models into production (Ep. 126)
Gospel Hypers