Presenting Machine Learning – Overview / Algorithm / Models / Production by Melanie Warrick, Senior Developer Advocate at Google PLEASE CHECK REGISTRATION DETAILS BELOW
This month, for the first time, we are incredibly privileged to welcome Google’s Melanie Warrick @nyghtowl About Melanie Melanie Warrick is a Senior Developer Advocate at Google. Previous experience includes work as a founding engineer on Deeplearning4J as well as implementing machine learning in production at Change.org. Prior experience also covers business consulting and large enterprise technology implementations for a wide variety of companies. Over the last couple years, she’s spoken at many conferences about artificial intelligence, and her passions are working on machine learning problems at scale. Melanie Warrick Linkedin nyghtowl on Github Machine Learning – Overview / Algorithm / Models / Production Machine learning (ML) has gained significant attention because of its impact from advancements in areas like automated medical diagnosis to unique product interactions and advertising for individual users. At its core, it’s a set of algorithms used for pattern matching and prediction, and it plays a prominent role in AI development. In this talk, I will provide an overview of ML, share an example algorithm and talk about how you would train the model as well as put it in production.
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