Similarity in Machine Learning (Ep. 129)

Episode 129 of the Data Science at Home podcast, hosted by Francesco Gadaleta, titled "Similarity in Machine Learning (Ep. 129)" was published on November 24, 2020 and runs 30 minutes.

November 24, 2020 ·30m · Data Science at Home

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Summary

Come join me in our Discord channel speaking about all things data science. Follow me on Twitch during my live coding sessions usually in Rust and Python Subscribe to the official Newsletter and never miss an episode Our Sponsors ProtonMail offers a simple and trusted solution to protect your internet connection and access blocked or restricted websites. All of ProtonMail and ProtonVPN's apps are open source and have been inspected by cybersecurity experts, and Proton is based in Switzerland, home to some of the world’s strongest privacy laws 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.

Episode Description

Come join me in our Discord channel speaking about all things data science.

Follow me on Twitch during my live coding sessions usually in Rust and Python

Subscribe to the official Newsletter and never miss an episode

Our Sponsors

ProtonMail offers a simple and trusted solution to protect your internet connection and access blocked or restricted websites. All of ProtonMail and ProtonVPN's apps are open source and have been inspected by cybersecurity experts, and Proton is based in Switzerland, home to some of the world’s strongest privacy laws
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.