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Predictive models of Machine learning and data science
How do they differ? What about their efficiencies?
2 RĂ©ponses
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Machine learning and statistics are part of data science. The word learning in machine learning means that the algorithms depend on some data, used as a training set, to fine-tune some model or algorithm parameters. This encompasses many techniques such as regression, naive Bayes or supervised clustering.
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Lemme define each.
Machine learning is when you give machine large chunks of data to be able to learn something.
For example, the voice to text involves machine learning.
Data Science is a broad topic related to anythong about data. Data. Which is, in its purest form, useful knowledge.