What is the difference between statistical AI and Classical AI with suitable examples?
Machine learning techniques are usually using a lot of statistical approaches, like neural networks: a book like this one (Understanding Machine Learning: From Theory to Algorithms ISBN 978-1-107-05713-5) is full of mathematical equations.
Symbolic artificial intelligence, e.g. classical expert system approaches (with some knowledge base), is more related to logic: a book like that one (Artificial Beings: the Conscience of a Conscious Machine ISBN 978 1848211018) has mostly no complex equations, but simple ones.
Artificial neural networks are somehow "working", but you cannot understand why.
Knowledge based systems are more explainable artificial intelligence.