Machine Learning, Data Science, and Statistics

There are no universally agreed-upon definitions for the terms "machine learning", "data science", and "statistics". In my mind, classical statistics consists of traditional techniques that were developed from the 1920s through the 1970s. Statistics techniques include things like correlation, linear regression, and the t-test for hypothesis testing. In my mind, machine learning consists of techniques that make predictions based on data and usually require computer analysis. Examples include logistic regression classification, neural network classification, and k-means clustering.