Introduction

This chapter provides basic machine learning mechanisms. It includes supervised, unsupervised, semisupervised, and reinforcement learning algorithms. Besides, different learning techniques are discussed, namely rule-based learning, feature-based learning, and representational learning. Deep learning fundamental and its importance are discussed in the medical imaging field by taking recent works in the domain. Lastly, the scope of the book is neatly discussed.