Computers in machine learning distinguish themselves by being able to not only memorize new information but apply that information to new situations in the future. There is a difference between memorizing and learning. There is an important distinction between giving a computer a line of code and creating a machine learning model. The basic characteristic of machine learning is the use of artificial inductive reasoning. Artificial inductive reasoning means that a specific event gives you cause to generalize a characteristic. This book is not meant to be a comprehensive textbook on machine learning. Instead, it will give you a base of knowledge to continue with your study of machine learning and artificial intelligence. In order to continue your studies and master the subject, there is a large degree of studying that must be done. Will discuss the general structure and organization of machine learning models, the common terms, and the basic statistical concepts necessary to use and understand machine learning.
