From Statistics to AI
It keeps getting more and more muddled out there, Statistics, Data Mining, Machine Learning, AI, Big-Data, deep learning, and so on. These days the buzz is deep learning & AI, and it seems to many that it is synonymous with data science. The intent of this article is to show how this has come about, and the fact that it is driven by a fraction of the use cases, and there is a whole sea of use cases where analytics exists as it always had – where domain knowledge, analytical craftery, and statistical intuition still rules.
A good way to obtain clarity on state of affairs can be had by tracking the evolution of this broad field of analytics through its various cycles – which will help provide perspective and context to changing emphasis and terminologies.
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