Super Data Science: ML & AI Podcast with Jon Krohn cover image

685: Tools for Building Real-Time Machine Learning Applications, with Richmond Alake

Super Data Science: ML & AI Podcast with Jon Krohn

CHAPTER

Understanding Machine Learning Architecture and Engineering

Exploring the differentiation between machine learning architecture, engineering, and data science roles, emphasizing the importance of various components for modern applications with a machine learning core. Delving into tools like Databricks and Amazon Kinesis for efficient pipelines in real-time data processing and discussing the role of a machine learning engineer in data lifecycle within a data engineering team.

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