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HomeTechnology and A.I ProductsKnowledge Science on AWS: Implementing Finish-to-Finish, Steady AI and Machine Studying Pipelines

Knowledge Science on AWS: Implementing Finish-to-Finish, Steady AI and Machine Studying Pipelines


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With this sensible e book, AI and machine studying practitioners will discover ways to efficiently construct and deploy knowledge science initiatives on Amazon Internet Providers. The Amazon AI and machine studying stack unifies knowledge science, knowledge engineering, and software growth to assist degree up your abilities. This information exhibits you construct and run pipelines within the cloud, then combine the outcomes into purposes in minutes as an alternative of days. All through the e book, authors Chris Fregly and Antje Barth exhibit cut back value and enhance efficiency.

Apply the Amazon AI and ML stack to real-world use instances for pure language processing, laptop imaginative and prescient, fraud detection, conversational gadgets, and extra Use automated machine studying to implement a selected subset of use instances with SageMaker Autopilot Dive deep into the entire mannequin growth lifecycle for a BERT-based NLP use case together with knowledge ingestion, evaluation, mannequin coaching, and deployment Tie every part collectively right into a repeatable machine studying operations pipeline Discover real-time ML, anomaly detection, and streaming analytics on knowledge streams with Amazon Kinesis and Managed Streaming for Apache Kafka Be taught safety greatest practices for knowledge science initiatives and workflows together with id and entry administration, authentication, authorization, and extra

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Writer ‏ : ‎ O’Reilly Media
Publication date ‏ : ‎ Could 11 2021
Version ‏ : ‎ 1st
Language ‏ : ‎ English
Print size ‏ : ‎ 521 pages
ISBN-10 ‏ : ‎ 1492079391
ISBN-13 ‏ : ‎ 978-1492079392
Merchandise weight ‏ : ‎ 1.05 kg
Dimensions ‏ : ‎ 17.78 x 3.18 x 23.5 cm
Finest Sellers Rank: #445,529 in Books (See High 100 in Books) #28 in AI Synthetic Life #56 in Laptop Imaginative and prescient & Sample Recognition #62 in Mathematical & Statistical Software program (Books)
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