Map/Reduce implementations of common ML algorithms

A repository of material for the exercise classes of a Big Data Analytics master course. Hands-on sessions cover Spark and its machine learning library, Map/Reduce implementations of linear regression and alternating least squares, streaming analytics with Recursive Least Squares, and image classification with convolutional neural networks. Material is provided as Jupyter notebooks.

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0 shouts Added Sep 23, 2026 github.com
github.com/Yannael/BigDataAnalytics_INFOH515
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  • Material is available as a set of Jupyter notebooks Source: github.com

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