In this chapter, we covered a complete introduction to machine learning.
In the first section, we contextualized the concept of machine learning and how it is related to other hot topics, such as artificial intelligence, neural networks, and deep learning. Additionally, we summarized the three main approaches in machine learning and discussed the three most common techniques to solve classification, regression, and clustering problems.Then, we applied the most common machine learning techniques to solve some real-world problems. More specifically, we looked at the k-means clustering algorithm, the k-nearest neighbor classifier, and SVM.
In the next chapter, we will explore how to create face-processing projects using state-of-the-art algorithms in connection with face detection, tracking, and recognition.
