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Team Roles in a Machine Learning Project and Project Flow

Toronto Machine Learning Series (TMLS) via YouTube

Overview

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Explore the intricacies of data science project management and team dynamics in this insightful talk by Brandy Freitas, a principal data scientist at Pitney Bowes. Gain valuable insights into developing context around data science projects, understanding the various roles and skills required, and learning the essential vocabulary and practices needed to foster a data-driven culture within your organization. Discover how to bridge the communication gap between practitioners and executives in the field of data science. Delve into different machine learning techniques and understand their appropriate applications. Learn from Freitas' extensive experience as a research physicist-turned-data scientist, drawing from her background in protein structure determination and machine learning applications in cryoelectron microscopy data.

Syllabus

Brandy Freitas - Team Roles in a Machine Learning Project and Project Flow

Taught by

Toronto Machine Learning Series (TMLS)

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