The report "Comparison between Gradient Descent and BDGD methods" has been written by Betti Gianmarco (ID: 2097050), Marinelli Andrea (ID: 2091700) e Rinaldi Giorgia (ID: 2092226). There are two files: a Python notebook in which code and algorithms have been implemented and tested on datasets; a pdf file explaining the work done.
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This assignment was completed for the Mathematical Optimization for Data Science course. The objective was to compare Gradient Descent with Block Coordinate Gradient Descent. I implemented both methods from scratch and tested them on publicly available datasets.
giorgiarinaldi/optimization-for-data-science
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This assignment was completed for the Mathematical Optimization for Data Science course. The objective was to compare Gradient Descent with Block Coordinate Gradient Descent. I implemented both methods from scratch and tested them on publicly available datasets.
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