Productizing ML at Scale at Twitter with Yi Zhuang - TWIML Talk #271
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
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Understanding the Diverse Workflows of Machine Learning Practitioners
This chapter explores the divergent preferences of machine learning engineers and data scientists in their practices, emphasizing the code-centric versus notebook-centric approaches. It also highlights workflow orchestration in machine learning, discussing tools like Apache Airflow and the differences between real-time predictions and batch scoring.
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