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Machine Learning is a subfield of computer science that draws on elements from algorithmic analysis, computational statistics, mathematics, optimization, etc. It is mainly concerned with the use of data to construct models that have high predictive/forecasting ability. Topics include modeling building, applications, theory, etc.

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You can use both methods, in the vast majority of examples I have seen and worked with the usual order is. Augmentate your data, rotations, zoomings, flips.... Normalize your images based on the n …
answered Mar 28 '18 by Kailegh
0
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If you only want to add more examples you can retrain the machine learning algorithm you had the day before. But if you want to add new features training it from the beginning is needed, you could tra …
answered Mar 28 '18 by Kailegh