Sentence Classification using CNNs
Though CNNs have mostly been used for computer vision tasks, nothing stops them from being used in NLP applications. One such application for which CNNs have been used ef...
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New Book : Big Data in Engineering Applications
BOOK : Big Data in Engineering Applications, SPRINGER. Editors: Roy, S.S., Samui, P., Deo, R., Ntalampiras, S. (Eds.). Dear All, The most anticipated book titled “B...
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...
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...
Most Popular Text Analytics Tools and Algorithms
With text analytics, various burning questions around the ‘why’ and ‘what’ of a piece or group of content can be answered. Examples like social media chatter arou...
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 ...
History as a Guide to IoT Growth Trajectory
Internet of Things (IoT) has generated a ton of excitement and furious activity. However, I sense some discomfort and even dread in the IoT ecosystem about the future –...
An Intro to Natural Language Processing in Python: Framing Text Classification in Familiar Terms
Natural language processing (NLP) is a broad field encompassing many different tasks such as text search, translation, named entity recognition, and topic modeling. On a...
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...