This article was written by William Koehrsen A complete walk through using Bayesian optimization for automated hyperparameter tuning in Python Tuning machine learning hyp...
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 being...
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 intere...
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...
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...
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...
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...
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...
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 ...
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 ...