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.
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.View full review »