MACHINE LEARNING

Detailed explanation-1: -Statistical modeling is a formalization of relationships between variables in the data in the form of mathematical equations.

Detailed explanation-2: -Both machine learning and statistics share the same goal: Learning from data. Both these methods focus on drawing knowledge or insights from the data.

Detailed explanation-3: -A Statistical Model is the use of statistics to build a representation of the data and then conduct analysis to infer any relationships between variables or discover insights. Machine Learning is the use of mathematical and or statistical models to obtain a general understanding of the data to make predictions.

Detailed explanation-4: -Statistical learning theory is a framework for machine learning, drawing from the fields of statistics and functional analysis. Statistical learning theory deals with the problem of finding a predictive function based on data. The goal of learning is prediction.