This chapter introduces the basics of machine learning, laying down common themes and concepts and making it easy to follow the logic and familiarize yourself with the topic. The goal is to quickly learn the step-by-step process of applied machine learning and grasp the main machine learning principles. In this chapter, we will cover the following topics:
- Machine learning and data science
- Data and problem definition
- Data collection
- Data preprocessing
- Unsupervised learning
- Supervised learning
- Generalization and evaluation
If you are already familiar with machine learning and are eager to start coding, then quickly jump to the chapters that follow this one. However, if you need to refresh your memory or clarify some concepts, then it is strongly recommend revisiting the topics presented in this chapter.
