Is it true that statistical models and Machine Learning are the same ?

Question

Accepted Answer

No, statistical models and Machine Learning are not the same.

Statistical models are based on mathematical equations and assumptions, while Machine Learning uses algorithms to learn patterns from data.
Statistical models require a priori knowledge of the data distribution, while Machine Learning can handle complex and unstructured data.
Statistical models are often used for hypothesis testing and parameter estimation, while Machine Learning is used for prediction and classification tasks.
Examples of statistical models include linear regression, ANOVA, and logistic regression, while examples of Machine Learning algorithms include decision trees, neural networks, and support vector machines.

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