Description: Data Science on AWS: Implementing End-to-End, Continuous AI and Machine Learning Pipelines Apply the Amazon AI and ML stack to real-world use cases for natural language processing, computer vision, fraud detection, conversational devices, and moreUse automated machine learning to implement a specific subset of use cases with SageMaker AutopilotDive deep into the complete model development lifecycle for a BERT-based NLP use case including data ingestion, analysis, model training, and deploymentTie everything together into a repeatable machine learning operations pipelineExplore real-time ML, anomaly detection, and streaming analytics on data streams with Amazon Kinesis and Managed Streaming for Apache KafkaLearn security best practices for data science projects and workflows including identity and access management, authentication, authorization, and more Brand new conditionCould not commit to it, so out here selling.Get it now!
Price: 16 USD
Location: Raleigh, North Carolina
End Time: 2024-09-23T04:03:27.000Z
Shipping Cost: 5.38 USD
Product Images
Item Specifics
All returns accepted: ReturnsNotAccepted
Number of Pages: 521 Pages
Language: English
Publication Name: Data Science on Aws : Implementing End-To-End, Continuous Ai and Machine Learning Pipelines
Publisher: O'reilly Media, Incorporated
Publication Year: 2021
Subject: General, Databases / Data Warehousing, Computer Vision & Pattern Recognition
Item Height: 1 in
Item Weight: 25 Oz
Type: Textbook
Subject Area: Computers, Mathematics
Author: Chris Fregly, Antje Barth
Item Length: 9.5 in
Item Width: 7.1 in
Format: Trade Paperback
