Applying some intelligence to Artificial Intelligence

Navigating the turbulent waters of Artificial Intelligence (AI) and Machine Learning (ML) can seem like a daunting task to the uninitiated. In fact even the question of how AI relates to ML is answered differently depending on who you ask, as evidenced by the numerous articles about on these topics. In this area, confusion abounds – for example with ML being linked to predictive analytics, including Monte Carlo Simulations, which have nothing to do with ML! Some of this comes from the breadth of subjects that are related to these concepts. For example Natural Language Processing, Random Forest, Dimensionality Reduction, Neural Nets and Deep Learning do not fit into a nice grouping structure or hierarchy which can defined as just an instance of that overall class of technique. The next layer of complexity comes from the fact that any given use case can actually use a fairly arbitrary combination of these tools to achieve its aims.