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Important Questions about ML Algorithms for Interview
This blog posts lists interview questions often asked during machine learning interviews.
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One Embedding to do them all
A framework to combine multi datasources to a unified embedding for products on e-commerce. These datasource could include catalog text data, user click stream data or product images.
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Joint Text Embedding for Personalised Content-based Recommendation
Learning user and text embedding for personalised recommendation of new textual items. Embedding are learnt by treating the problem as a ranking problem and increasing the proximity score for each positive user-item pair. Items are embedded using their associated text.
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Understanding Correlation
Understanding correlation amongst different types variables from numberical, categorical to ordinal variables