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

This comprehensive guidebook is a must-read for anyone looking to build and deploy data science projects on Amazon Web Services (AWS).

With real-world examples and practical exercises, you'll learn how to reduce costs and improve performance using the AWS AI and machine learning stack.

From natural language processing to computer vision and fraud detection, this book covers a wide range of use cases and shows you how to implement them quickly and easily.

Plus, you'll discover how to tie everything together into a repeatable machine learning operations pipeline and explore real-time ML, anomaly detection, and streaming analytics on data streams with Amazon Kinesis and Managed Streaming for Apache Kafka.

With security best practices included, this book is the ultimate resource for anyone looking to bring their data science projects from idea to production.

Don't miss out - order your copy today!