Before analyzing customer data, we need to describe the customers. Descriptive features for customers usually revolve around three categories: revenues, demographics and behavior. While revenues ...

This article serves as a guide to data visualization, analytics, and machine learning platforms. Here I will discuss the features, use cases, user personas, and differentiating capabilities of ...

@article{ANZEL2023107843, title = {Interactive polar diagrams for model comparison}, journal = {Computer Methods and Programs in Biomedicine}, volume = {242}, pages ...

Data visualization is not just an art form but a crucial tool ... creation of visualizations and to provide insights based on the visualized data. Use of machine learning models to predict trends and ...

Excel can be a powerful addition to your repertoire of machine learning tools. While it’s not good for dealing with big data sets and complicated algorithms, it can help with the visualization ...

Bottom line: Machine learning makes it possible to discover ... Watson combines visual and systems-based data to track, report and make recommendations in real-time. Source: DHL, Artificial ...

The course provides a foundation for coupling the analytics and decision-making with the contexts of the V’s of Big Data. Specifically, it will tackle the trade-offs between data properties and the ...