Clustering, ETL and Support Vector Machines

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Clustering

ETL

Support Vector Machines

Use mobility data to derive insights using Amazon SageMaker geospatial capabilities

AWS Machine Learning Blog

JANUARY 17, 2024

To obtain such insights, the incoming raw data goes through an extract, transform, and load (ETL) process to identify activities or engagements from the continuous stream of device location pings. We can analyze activities by identifying stops made by the user or mobile device by clustering pings using ML models in Amazon SageMaker.

Clustering

Clustering AWS ML ML

Big Data Syllabus: A Comprehensive Overview

Pickl AI

AUGUST 9, 2024

Some of the most notable technologies include: Hadoop An open-source framework that allows for distributed storage and processing of large datasets across clusters of computers. Understanding ETL (Extract, Transform, Load) processes is vital for students. Students should learn how to train and evaluate models using large datasets.

Big Data

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Data Science Current

Use mobility data to derive insights using Amazon SageMaker geospatial capabilities

Big Data Syllabus: A Comprehensive Overview

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