Let’s say, we sell shoes online and we have the history of every order our customers have ever placed stored in our database. We want to use that data so we know what shoes we should recommend to each customer, based on their previous purchases, so they buy more shoes from us. Could you please explain how NLP or machine learning would apply in this context and what the difference between the two is?
A colleague is using these terms interchangeably and I don’t think they are the same thing.
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The other post is largely correct, but there’s more to add. NLP covers all natural language processing, much of which isn’t machine learning or AI at all. All computer parsing of natural language falls under NLP.
Also, much of machine learning has nothing to do with NLP. So NLP and machine learning venn diagram are two separate circles that partially overlap. Neither is a subset of the other.
The other post is largely correct, but there’s more to add. NLP covers all natural language processing, much of which isn’t machine learning or AI at all. All computer parsing of natural language falls under NLP.
Also, much of machine learning has nothing to do with NLP. So NLP and machine learning venn diagram are two separate circles that partially overlap. Neither is a subset of the other.
The other post is largely correct, but there’s more to add. NLP covers all natural language processing, much of which isn’t machine learning or AI at all. All computer parsing of natural language falls under NLP.
Also, much of machine learning has nothing to do with NLP. So NLP and machine learning venn diagram are two separate circles that partially overlap. Neither is a subset of the other.
NLP is a subset of machine learning where the input data is large amounts of natural language in text form.
There are lots of other kinds of machine learning: everything from simple linear regression to clustering to neural networks.
NLP is a subset of machine learning where the input data is large amounts of natural language in text form.
There are lots of other kinds of machine learning: everything from simple linear regression to clustering to neural networks.
NLP is a subset of machine learning where the input data is large amounts of natural language in text form.
There are lots of other kinds of machine learning: everything from simple linear regression to clustering to neural networks.
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