In some cases, the exact same analysis is used in statistics and machine learning but the results are used differently. For example, a statistician might use a regression to make inferences about a population parameter, whereas a machine learning engineer could use the same analysis and the same data to make a prediction about a new data value.
Great post, Tivadar! Very clear and succinct.
In some cases, the exact same analysis is used in statistics and machine learning but the results are used differently. For example, a statistician might use a regression to make inferences about a population parameter, whereas a machine learning engineer could use the same analysis and the same data to make a prediction about a new data value.
Thanks! Yeah, I agree. Statistics is for explanation, machine learning is for prediction.
I've often heard about Bayesian Statistics. How do these stack here?