How to distinguish a machine learning algorithm and a “normal” ones?
i’m working on my thesis where my colleague is using ML models, and im sticked with change point detection models but not ML. (ive seen SVM could be used for CPD).
Model to determine if certain company names are the same
So I was trying to look into models that could help determine if a company name is the same. So basically I have a dataset that lists a bunch of company names that different investment funds hold but every investment fund may have a different naming convention for the company name such as Apple Inc or Apple Common stock. Is there any model that can help determine if they are the same company name. I Know this might just be beyond something I can do but I know chatgpt can do this really well I can pass it like 20 company names and it will tell me if they are all the same or not but obviously my dataset has 500,000 rows so I don’t know anyway I can just pass that data to chatgpt and I have heard it fails on longer computations.