What is the difference between statistics and machine learning?
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TL;DR: Machine Learning is about learning (from data) to predict or act in the real world as accurately as possible, while statistics has developed as a tool for inferring and validating truths about the world.
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The purpose of statistics is to make an inference about a population based on a sample. Machine learning is used to make repeatable predictions by finding patterns within data.
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The purpose of statistics is to make an inference about a population based on a sample. Machine learning is used to make repeatable predictions by finding patterns within data.
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The purpose of statistics is to make an inference about a population based on a sample. Machine learning is used to make repeatable predictions by finding patterns within data.
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