This is an open-ended interview question. There are 10 million data points. Each Data point consists of an image of a product, a short description, and the name of the product.
Now, there is a list of 1000 tags that we need to map to these data points(eg. Leather, Bag, Clothing, etc.). How do you go about using these datasets? What Machine Learning algorithms can be used in this context? How do you go about making use of this dataset?
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