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Data Science on AWS: Implementing End-to-End, Continuous AI and Machine Learning Pipelines-P2P

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

Data Science on AWS: Implementing End-to-End, Continuous AI and Machine Learning Pipelines-P2P
English | 2021 | ISBN-13 : 978-0323855105 | 522 Pages | EPUB | 22.56 MB
Download: ( NITROFLARE ) | ( RAPIDGATOR )

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  1. YTSTY
    April 8th, 2021 | 12:06

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