Why Every Data Scientist Should Learn Mathematical Optimization

Data science courses are focusing on data visualization, feature engineering, data processing, (un)supervised learning, clustering, programming, deep learning and sometimes data engineering. Optimization isn’t part of these courses, mostly it’s not even mentioned! And that’s a shame, because it can add value in many business processes. Pros are its flexibility, easiness and fastness. It has capabilities machine learning can’t accomplish. With optimization you make decisions while with machine learning you make predictions. Curious? Continue …

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