Data Classification, Natural Language Processing and Support Vector Machines

Ever wonder what makes machine learning effective?

Dataconomy

AUGUST 31, 2023

Here are some examples of where classification can be used in machine learning: Image recognition : Classification can be used to identify objects within images. The goal of unsupervised learning is to identify structures in the data, such as clusters, dimensions, or anomalies, without prior knowledge of the expected output.

Machine Learning

Machine Learning Machine Learning Supervised Learning Algorithm

Five machine learning types to know

IBM Journey to AI blog

DECEMBER 20, 2023

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.

Machine Learning

Machine Learning Machine Learning Supervised Learning Clustering

Data Science Current

Ever wonder what makes machine learning effective?

Five machine learning types to know

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