Principal component analysis (PCA) is a classical machine learning technique. The goal of PCA is to transform a dataset into one with fewer columns. This is called dimensionality reduction. The ...

Sentiment analysis produces estimates of the attitude or tone present in a natural language excerpt. Often these estimates will fall along a single dimension, a continuum from purely negative to ...

In Salesforce’s most recent State of the Connected Customer study, 80% of respondents said a company’s customer experience is as important as its products and services. Sixty-five percent said they ...

Tracking and analyzing sentiments has emerged on the scene alongside countless other automation processes in the last decade. Sentiment analysis has been popular with social media and discovering how ...

Forbes contributors publish independent expert analyses and insights. Exploring Cloud, AI, Big Data and all things Digital Transformation. Customer feedback is great. But how do you turn that feedback ...

Transforming a dataset into one with fewer columns is more complicated than it might seem, explains Dr. James McCaffrey of Microsoft Research in this full-code, step-by-step machine learning tutorial.