Data Science on AWS

Chris Fregly, AWS's Principal Developer Advocate for AI and Machine Learning (San Francisco) Chris Fregly is an Amazon Web Services (AWS) Principal Developer Advocate for AI and Machine Learning headquartered in San Francisco, California. He is a co-author of "Data Science on AWS," an O'Reilly book.

Antje Barth is an AWS Senior Developer Advocate for AI and Machine Learning (Dusseldorf)

Antje Barth is an Amazon Web Services (AWS) Senior Developer Advocate for AI and Machine Learning headquartered in Düsseldorf, Germany. She is a co-author of "Data Science on AWS," an O'Reilly book.

AI and machine learning practitioners will learn how to successfully create and implement data science projects on Amazon Web Services with this practical book. To help you advance your skills, the Amazon AI and machine learning stack combines data science, data engineering, and application development. This book will show you how to create and run pipelines on the cloud, then integrate the findings into apps in minutes rather than days. Authors Chris Fregly and Antje Barth illustrate how to cut costs while improving performance throughout the book.

• Use the Amazon AI and ML stack to solve real-world problems in natural language processing, computer vision, fraud detection, conversational devices, and other areas.
• With SageMaker Autopilot, employ automated machine learning to implement a subset of use cases.
• Examine the entire model development lifecycle for a BERT-based NLP application, including data acquisition, analysis, model training, and deployment.
• Connect everything into a repeatable machine learning operations pipeline.
• With Amazon Kinesis and Managed Streaming for Apache Kafka, you can do real-time ML, anomaly detection, and streaming analytics on data streams.
• Learn about the best security practices for data science projects and workflows, such as identity and access management, authentication, and authorization.

Data Science on AWS is intended for anyone who utilizes data to make important business decisions. The information provided here will assist data analysts, data scientists, data engineers, machine learning engineers, research scientists, application developers, and DevOps engineers in broadening their grasp of the modern data science stack and improving their cloud abilities. The book is one of the best books on business intelligence tools.

Author: Antje Barth and Chris Fregly

Link to buy: https://www.amazon.com/Data-Science-AWS-End-End/dp/1492079391/

Ratings: 4.4 out of 5 stars (from 119 reviews)

Best Sellers Rank: #25,817 in Books

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