Articles

This article was written by William Koehrsen A complete walk through using Bayesian optimization for automated hyperparameter tuning in Python Tuning machine learning hyperparameters is… Read More »Automated Machine Learning Hyperparameter Tuning in Python

In my earlier post I discussed how performing topological data analysis on the weights learned by convolutional neural nets (CNN’s) can give insight into what is… Read More »Going Deeper: More Insight Into How and What Convolutional Neural Networks Learn

I recently talked to Clint Boulton, author of “Why digital transformations are lagging” about why Digital Transformation is so hard. His article raises lots of… Read More »Why Digital Transformation Is So Dang Hard?

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… Read More »Sentence Classification using CNNs

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… Read More »New Book : Big Data in Engineering Applications

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