That’s totally not the case of current article) for doing what you said, you will need building processing pipelines, dim reduction, clusterisation, setup correct metrics for similarity(red car is more similar to blue car than red car to rad box? etc.), developing fast DB for comparing data(use trees in most cases, but not only depend on case), etc.
This is talk for 5–10 courses)

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Machine Learning and Computer Vision Researcher. Founder LearnML.Today

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