Leveraging AI to help analyze and visualize data gathered from a variety of data sets enables data-driven insights and fast analysis without the high costs of talent and technology. In today's ...

In recent years, JupyterLab has rapidly become the tool of choice for data scientists, machine learning (ML) practitioners, and analysts worldwide. This powerful, web-based integrated development ...

Data modeling refers to the architecture that allows data analysis to use data in decision-making processes. A combined approach is needed to maximize data insights. While the terms data analysis and ...

Building fast and highly performant data science applications requires an intimate knowledge of how data can be organized in a computer and how to efficiently perform operations such as sorting, ...

Jory Denny is a member of two professional societies: the Association of Computing Machinery and IEEE. He is associated with Waymo LLC. The world of computing is full of buzzwords: AI, supercomputers, ...

Microsoft Excel’s Data Analysis Toolpak is an invaluable add-in for those who require complex statistical or engineering analyses. This powerful feature allows users to execute a variety of data ...

This guide is designed to show you how to use Google Gemini for data analysis. In today’s digital age, we are witnessing an unprecedented surge in the volume of data generated globally. This rapid ...

Zhang, Shunyuan, Nitin Mehta, Param Singh, and Kannan Srinivasan. "Frontiers: Can an AI Algorithm Mitigate Racial Economic Inequality? An Analysis in the Context of Airbnb." Marketing Science 40, no.

Today, most business decisions are backed up by data, but its practical applications go beyond pure analytics and long-term business strategizing. In fact, workplace digitalization and access to data ...