Speaker: Melanie Warrick

Senior Developer Relations Engineer Company @Google

Melanie Warrick is currenlty at Google driving applied machine learning and Cloud advocacy efforts and servers on the board of the non-profit, Techtonica. She has an extensive career making sense of data working as an engineer and business leader. She implemented machine learning applications at Change.org and built neural net software platform at a start-up. Before becoming a software engineer, she worked for over 10 years in business consulting at firms such as Accenture on projects for Fortune 500 companies and non-profits like CARE and Oxfam. She is driven to solve problems with data and technology and has a passion for including others in the space.

Find Melanie Warrick at:

PANEL DISCUSSION + Live Q&A

ML/AI Panel

This is your chance to hear from the experts: ML platform builders and longtime users. What makes ML different from other types of applications and why does it require special tooling? How did they get started and what tools would they use if they were starting today? Where is the low-hanging fruit and how do they recommend acquiring those initial quick wins? Join us to learn what you should watch out for in the initial stages, while you're still learning core concepts.

Moderator: Michelle Casbon

Location

Pacific DEKJ

Track

Modern CS in the Real World

Topics

Machine Learning

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