Data Science on AWS: Implementing End-to-End,Continuous AI and Machine Learning Pipelines
by: Chris Fregly and Antje Barth
Publisher finelybook 出版社: O’Reilly Media; 1st edition (April 27,2021)
Language 语言: English
Print Length 页数: 524 pages
ISBN-10: 1492079391
ISBN-13: 9781492079392
Book Description
By finelybook
With this practical book,AI and machine learning practitioners will learn how to successfully build and deploy data science projects on Amazon Web Services. The Amazon AI and machine learning stack unifies data science,data engineering,and application development to help level upyour skills. This guide shows you how to build and run pipelines in the cloud,then integrate the results into applications in minutes instead of days. Throughout the book,authors Chris Fregly and Antje Barth demonstrate how to reduce cost and improve performance.
Apply the Amazon AI and ML stack to real-world use cases for natural language processing,computer vision,fraud detection,conversational devices,and more
Use automated machine learning to implement a specific subset of use cases with Amazon SageMaker Autopilot
Dive deep into the complete model development lifecycle for a BERT-based NLP use case including data ingestion,analysis,and more
Tie everything together into a repeatable machine learning operations pipeline
Explore real-time ML,anomaly detection,and streaming analytics on data streams with Amazon Kinesis and Managed Streaming for Apache Kafka
Learn security best practices for data science projects and workflows including identity and access management,authentication,authorization,and more
