Data Mining, Data Models, Natural Language Processing and Support Vector Machines

Data science vs. machine learning: What’s the difference?

IBM Journey to AI blog

JULY 6, 2023

It uses advanced tools to look at raw data, gather a data set, process it, and develop insights to create meaning. Areas making up the data science field include mining, statistics, data analytics, data modeling, machine learning modeling and programming.

Machine Learning

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Text Classification Using Machine Learning Algorithm in R

Heartbeat

MARCH 8, 2023

Source: Author Introduction Text classification, which involves categorizing text into specified groups based on its content, is an important natural language processing (NLP) task. You can learn more about the usage of the package here install.packages("tidytext") Application areas for topic modeling are numerous.

Machine Learning

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Data science vs. machine learning: What’s the difference?

Text Classification Using Machine Learning Algorithm in R

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