How to Tell if Your Toaster is Learning – Machine Learning Essentials
It seems as though every time we hear about the next great start-up or turn on the news, we hear something about a revolutionary piece of machine learning (ML) or artificial intelligence (AI) technology and how it will change the way we live. This chapter focuses on ML as a practical part of data science. We will cover the following topics in this chapter:
- Defining different types of ML, along with examples of each kind
- Regression and classification
- What is ML, and how is it used in data science?
- The differences between ML and statistical modeling and how ML is a broad category of the latter
- An Introduction to Linear Regression
Our aim in this chapter will be to utilize statistics, probability, and algorithmic thinking in order to understand and apply essential ML skills to practical industries, such as marketing. Examples will include predicting star ratings of restaurant reviews...
