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Anomaly detection in streaming time series data with online learning using Amazon Managed Service for Apache Flink

AWS Machine Learning Blog

In this post, we demonstrate how to build a robust real-time anomaly detection solution for streaming time series data using Amazon Managed Service for Apache Flink and other AWS managed services. It offers an AWS CloudFormation template for straightforward deployment in an AWS account.

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

AWS Machine Learning Blog

The solution required collecting and preparing user behavior data, training an ML model using Amazon Personalize, generating personalized recommendations through the trained model, and driving marketing campaigns with the personalized recommendations. The user interactions data from various sources is persisted in their data warehouse.

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Predicting the Future of Data Science

Pickl AI

Furthermore, the demand for skilled data professionals continues to rise; searches for “data analyst” roles have doubled in recent years as companies seek to harness the power of their data. Apache Kafka), organisations can now analyse vast amounts of data as it is generated.

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Top 15 Data Analytics Projects in 2023 for beginners to Experienced

Pickl AI

Real-time Data Stream Analysis: Use Python with libraries like Apache Kafka and Apache Spark to process and analyze real-time data streams from sources like Twitter, sensors, or website logs. Implement real-time analytics to monitor trends or anomalies in the data.