This post is a modified excerpt from one of my publications on machine learning. Everyone is curious and the jargon doesn’t get off our backs. I attempted a comparison between the prevalent terminologies that exist today and how each of these are similar or dissimilar to machine learning. Please remember, I haven’t yet brought in the Cognitive computing to the mix. My next post will cover more on cognition and how it is different from other areas of learning / intelligence. [embed]https://www.datadriveninvestor.com/2019/01/23/deep-learning-explained-in-7-steps/[/embed]
Firstly, machine learning, it is a way of letting the machine learn from the data provided to it as against hand coding the rules. The concept map below depicts various aspects of machine learning.
Before we start comparing these terms, first let us look at different categories of learning methods in machine learning.