Statistics for Machine Learning

Machine learning terminology for model building and validation

There seems to be an analogy between statistical modeling and machine learning that we will cover in subsequent chapters in depth. However, a quick view has been provided as follows: in statistical modeling, linear regression with two independent variables is trying to fit the best plane with the least errors, whereas in machine learning independent variables have been converted into the square of error terms (squaring ensures the function will become convex, which enhances faster convergence and also ensures a global optimum) and optimized based on coefficient values rather than independent variables:

Machine learning utilizes optimization for tuning all the parameters of various ...