Remove Data Classification Remove Natural Language Processing Remove Supervised Learning
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Five machine learning types to know

IBM Journey to AI blog

And retailers frequently leverage data from chatbots and virtual assistants, in concert with ML and natural language processing (NLP) technology, to automate users’ shopping experiences. Classification algorithms include logistic regression, k-nearest neighbors and support vector machines (SVMs), among others.

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Ever wonder what makes machine learning effective?

Dataconomy

Here are some examples of where classification can be used in machine learning: Image recognition : Classification can be used to identify objects within images. Examples of binary classification include spam vs. not spam emails, fraudulent vs. legitimate financial transactions, and disease vs. not disease medical diagnoses.

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How foundation models and data stores unlock the business potential of generative AI

IBM Journey to AI blog

Foundation models can be trained to perform tasks such as data classification, the identification of objects within images (computer vision) and natural language processing (NLP) (understanding and generating text) with a high degree of accuracy.

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