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How Thomson Reuters delivers personalized content subscription plans at scale using Amazon Personalize

AWS Machine Learning Blog

TR used AWS Glue DataBrew and AWS Batch jobs to perform the extract, transform, and load (ETL) jobs in the ML pipelines, and SageMaker along with Amazon Personalize to tailor the recommendations. Then the events are ingested into TR’s centralized streaming platform, which is built on top of Amazon Managed Streaming for Kafka (Amazon MSK).

AWS 76
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Big Data Syllabus: A Comprehensive Overview

Pickl AI

Data Integration Tools Technologies such as Apache NiFi and Talend help in the seamless integration of data from various sources into a unified system for analysis. Understanding ETL (Extract, Transform, Load) processes is vital for students. Students should learn about neural networks and their architecture.

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How to Manage Unstructured Data in AI and Machine Learning Projects

DagsHub

Apache Kafka Apache Kafka is a distributed event streaming platform for real-time data pipelines and stream processing. Tabular Data Extraction Deep learning models can extract structured information from unstructured sources, such as PDFs and images, into tabular formats. Unstructured.io