What’s the difference between statistics and machine learning?

The article poses a fundamental question about the relationship between statistics and machine learning. This is a common point of confusion, and the article likely aims to clarify the distinctions and overlaps between the two fields. The focus is on understanding the core concepts and methodologies.

• •The article likely explores the different goals of statistics (inference, hypothesis testing) and machine learning (prediction, pattern recognition).
• •It probably discusses the different approaches used in each field, such as statistical modeling versus algorithmic learning.
• •The article might highlight the increasing overlap between the two fields, particularly in areas like causal inference and Bayesian methods.