To be added
Set of notebooks associated with the chapter.
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Elastic Search: Here we demonstrate on the CMU book summaries dataset how to use Elastic Search to index and search through data.
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Topic Modelling: Here we demonstrate common Topic Modelling techniques such as LDA, LSA using gensim.
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Text Summarization: Here we demonstrate extractive and abstractive text summarization using various packages such as gensim, summy, etc and pre-trained models such as BERT.
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Recommender Systems: Here we demonstrate a simple Recommender System using Doc2Vec.
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Machine Translation: Here we demonstrate using the Machine Translation service provided by Microsoft's Azure Cognitive Services API.
Color figures as requested by the readers.
