In his book'The Master Algorithm', Pedro Domingos dissects the ML trains of thought into 5 tribes/groups. Symbolists believe in inductive logic, using data and rules to model intelligent systems. This can be computationally intensive at times, subjected to over-fitting and the'Bias-Variance' paradigm. However, experimentation is the key in most of the methods employed here, for e.g. Connectionists are interested in learning how the brain works and mimic the same using neural networks. Deep learning and mapping the brain (Neurosciences) is endogenous to this tribe.

Machine learning is a fascinating and powerful field of study filled with algorithms and data. The thing is, there are so many different types of people interested in machine learning, and each has different needs. It is important to understand what it is you want from machine learning and to tailor your self-study to those needs. If you don't, you could very easily go down the rabbit hole and get lost, lose interest and not get what you're looking for. In this post you will discover the 10 main groups of people interested in machine learning.