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Navigating the Full Stack of Machine Learning

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Dec 14

Navigating the Full Stack of Machine Learning

Everything you always wanted to know about Full Stack ML but were too afraid to ask

By Outerbounds

When and where

Date and time

Wed, December 14, 2022, 4:00 PM – 5:00 PM PST

Location

Online

About this event

Ethan Rosenthal is a data scientist at Square, has worked as a data consultant, and used to be a scientist scientist with a PhD in Physics from Columbia University. In this fireside chat, Ethan joins Hugo Bowne-Anderson, Outerbounds’ Head of Developer Relations, to discuss the wild west of full stack machine learning and how to make sense of all the feature stores, metric layers, model monitoring, and more with a view to deciphering what mental models, tools, and abstraction layers are most helpful in delivering actual ROI using ML.

After attending, you’ll know

  • How to think about the full stack of machine learning in a principled way;
  • What the most important layers in the ML stack are for data scientists;
  • How to separate the wheat from the chaff when thinking about which tools and abstraction layers to adopt for your team;

And much more! The fireside chat will be followed by an AMA with Ethan and Hugo at slack.outerbounds.co.

Tags

  • Online Events
  • #machine_learning
  • #data_science
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Navigating the Full Stack of Machine Learning


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