In this chapter, we will go over some of the concepts in machine learning. It is expected that you have previously studied and have an understanding of machine learning. So this chapter will serve as a refresher for some of the concepts that will be needed throughout this book, rather than a comprehensive study of all the machine learning approaches.
In this chapter, we will focus on linear neural networks, which are the simplest type of neural networks and are used for tasks such as linear regression, polynomial regression, logistic regression, and softmax regression, which are used most frequently in statistical learning.
We use regression to explain the relationship between one or more independent variables and a dependent variable. The concepts we will learn in this chapter are crucial for furthering our understanding of how machine learning works before...
