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… Read More »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… Read More »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… Read More »Scale-Invariant Clustering and Regression
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… Read More »Most Popular Text Analytics Tools and Algorithms
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… Read More »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… Read More »Deep Dive into Polynomial Regression and Overfitting
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… Read More »History as a Guide to IoT Growth Trajectory
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 daily… Read More »An Intro to Natural Language Processing in Python: Framing Text Classification in Familiar Terms
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,… Read More »Two Beautiful Mathematical Results – Part 2
The database is like a library building … every book (information) that enters must be properly placed (processed systematically), when a number of books come… Read More »Big Data and Machine Learning (Google case)
Here are some recommended books for data science practitioners, covering machine learning, deep learning, business intelligence, forecasting, text analytics and much more. Book Repository for… Read More »Reading List for Data Scientists