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In the first article of machine learning in ML.NET saga, we explored basics of machine learning and we got our first look at Microsoft’s framework for this purpose. There we mentioned that machine learning addresses two kinds of problems: regression and classification. We used Iris classification dataset, which is sort of a Hello World! example in the machine learning world, in order to get familiar with the concepts...

Źródło: rubikscode.net
Dziel się z innymi:
[EN] Machine Learning with ML.NET – Solving Real-World Classification Problem (Wine Quality) | Rubik's Code

Sztuka programowania 2331 dni, 4 godziny, 34 minuty temu Piotr Stapp 25 pokaż kod licznika zwiń

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