Can Artificial Intelligence replace Data Scientists?
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Organizing Analytics like the Human Brain
Artificial Intelligence (A.I.) is a wide umbrella of emerging technologies which have the potential to completely transform business and society. Key components include: ...
Some Irresistible Integrals, Computed Using Statistical Concepts
Updated on Dec 12, 2018. An error was fixed when g(x) is not equal to x, and a new section “Generalization” was added. A link to a large collections of intrig...
Deep Learning Research Review: Natural Language Processing
This article was written by Adit Deshpande on his own blog. This is the 3rd installment of a new series called Deep Learning Research Review. Every couple weeks or so, I...
Scale-Invariant Clustering and Regression
The impact of a change of scale, for instance using years instead of days as the unit of measurement for one variable in a clustering problem, can be dramatic. It can res...
Deep Dive into Polynomial Regression and Overfitting
In this article, we show that the issue with polynomial regression is not over-fitting, but numerical precision. Even if done right, numerical precision still remains an ...
Two Beautiful Mathematical Results – Part 2
In Part 1 of this article (see here) we featured the two results below, as well as a simple way to prove these formulas. Here, we continue on the same topic, featuring an...
Reading List for Data Scientists
Here are some recommended books for data science practitioners, covering machine learning, deep learning, business intelligence, forecasting, text analytics and much more...
Four Types of Data Scientists
I wrote about this long ago (see here in 2014), and so did many other practitioners. This new post shows more maturity I think, a more coherent view about the various da...
How do you identify an actual data scientist?
This question was recently posted on Quora, and generated a lot of answers. Here is mine: What differentiates a real doctor from a fake doctor? What about one with no med...