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Data Science on AWS: Implementing End-to-End, Continuous AI and Machine Learning Pipelines

Author : Chris Fregly, Antje Barth

Publisher ‏ : ‎ O'Reilly Media; 1st edition (April 27, 2021)

Language ‏ : ‎ English

Paperback ‏ : ‎ 524 pages

1) Book Description

This book is for anyone who uses data to make critical business decisions. The guidance here will help data analysts, data scientists, data engineers, ML engineers, research scientists, application developers, and DevOps engineers broaden their understanding of the modern data science stack and level up their skills in the cloud.

The Amazon AI and ML stack unifies data science, data engineering, and application development to help users level up their skills beyond their current roles. We show how to build and run pipelines in the cloud, then integrate the results into applications in minutes instead of days.

2) About Author

Chris Fregly is a Principal Engineer for AI and machine learning at AWS based in San Francisco. Previously, Chris worked at Netflix and Databricks focused on AI and machine learning pipelines on AWS.

Antje Barth is a Developer Advocate for AI and machine learning at AWS based in Düsseldorf, Germany. Antje is cofounder of the Düsseldorf chapter of Women in Big Data and frequently speaks at AI and machine learning conferences and meetups around the world. She also chairs and curates content for O’Reilly AI Superstream events. Previously, Antje was an engineer at Cisco and MapR focused on data center infrastructures, big data, and AI applications.