Inductive learning, i.e. learning from examples, is an important mode of learning in chemistry, which typically arises in the interpretation and analysis of data. The objective of most artificial intelligence (AI) methods is to emulate human reasoning by machine or automated processes. Thus, inductive learning methods such as machine learning (ML) and deep learning (DL), have many applications in chemistry.