PyTorch Primary Use Case

Associate Data Analyst at a financial services firm with 10,001+ employees

I work within the field of NLP and data logistics, but most of the information is stored in the description. I mostly use NLP algorithms to extract the sentiment or the similarity if they have a similarity score calculation. For example, something like the windshield cracking, or something extremely severe like a garage burning, or multiple car damage. 

The NLP tasks don't deal with the financial data directly but use extra information to get some insights. It's not really a good practice in India to use deep learning models directly on financial data because of audit reasons.

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Freelance AI Engineer at a tech services company with self employed

It is mostly used for everything that is connected to machine learning, data science, training, and other similar things.

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