Data science is an interdisciplinary field that combines strong technical skills with industry knowledge to perform a large range of jobs. Data scientists solve business questions with hands-on work cleaning and analyzing data, building machine learning models and applying algorithms, and generating dynamic visuals and tools to understand the world from the data it generates.

Amazon Web Services provides tools for storing data, moving it, analyzing it, and executing algorithms and models on it. In this episode we talk to Chris Fregly, author of the book Data Science on AWS. Chris works at AWS full time on AI and machine learning projects, and joins us to discuss his book and data science more broadly. What does it take to become a data scientist, who’s his book for, and what are the latest advancements in the field?

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The post Data Science on AWS: Implementing AI and ML Pipelines on AWS with Chris Fregly appeared first on Software Engineering Daily.

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