
Live from TWIMLcon! Use-Case Driven ML Platforms with Franziska Bell - #307
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
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Integrating Systems Engineering with Machine Learning
This chapter explores the intersection of systems engineering and innovative machine learning practices, emphasizing the importance of leveraging resources while developing advanced solutions like real-time anomaly detection. It discusses team organization, cross-functional collaboration, and the hiring of full stack data scientists to address deployment challenges and enhance developer velocity. Additionally, the chapter outlines key strategies for fostering a strong learning culture and interdisciplinary collaboration in data science.
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