Fregly, Chris
Data Science on AWS: Implementing End-to-End, Continuous AI and Machine Learning Pipelines
- ISBN 13:
- 9781492079392
- author:
- Fregly, Chris
- format:
- Paperback / softback
- publisher:
- O'Reilly Media, Inc, USA
- language:
- English
- Publication Year:
- 2021
- Pages:
- 400
- Dimensions:
- 23.3 x 17.8 x 2.7 centimeters (0
- Genre:
- Business, Operations, Statistics,
- Condition:
- New
- Availability:
- Item usually sent within 10 working days
Description
Build and deploy data science projects on online marketplaces Web Services with this practical guide. Learn how to successfully implement end-to-end, continuous AI and machine learning pipelines, reducing cost and improving performance. Authors Chris Fregly and Antje Barth demonstrate how to apply the online marketplaces AI and ML stack to real-world use cases, including natural language processing, computer vision, fraud detection, and more. You'll learn how to automate machine learning with SageMaker Autopilot, develop a BERT-based NLP pipeline, and integrate results into applications in minutes. The book covers security best practices for data science projects, including identity and access management, authentication, authorization, and more. With this guide, you'll be able to explore real-time ML, anomaly detection, and streaming analytics on data streams with online marketplaces Kinesis and Managed Streaming for Apache Kafka.
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