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Explore the critical role of software developers in machine learning projects through this insightful conference talk from GOTOpia Chicago 2021. Discover the process of developing ML projects, understand the complexities of ML infrastructure, and identify mismatches in the system. Learn how software developers can contribute significantly to the success of machine learning initiatives. Gain valuable insights into the intersection of software development and machine learning, equipping yourself with knowledge to thrive in this evolving field. Delve into recommended books and resources to further expand your understanding of machine learning, data science, and AI.
Syllabus
Intro
Agenda
What is the process for developing an ML project?
ML infrastructure is complicated
Where are the mismatches in the infrastructure?
Taught by
GOTO Conferences