Overview: Python and SQL form the core data science foundation, enabling fast analysis, smooth cloud integration, and ...

To help professionals build these capabilities, we have curated a list of the best applied AI and data science courses.

ABSTRACT: Accurate prediction of water travel time in drip irrigation systems is essential for efficient water and nutrient delivery. This study develops a predictive model for travel time by ...

Abstract: The success of deep learning heavily relies on the large amount of training samples. However, in scientific visualization, due to the high computational cost, only few data are available ...

Advanced data visualization and analytics have become central to enterprise IT strategies as organizations face rapid data growth from cloud services, software-as-a-service applications, edge devices, ...

Abstract: Visualization knowledge bases enable computational reasoning and recommendation over a visualization design space. These systems evaluate design trade-offs using numeric weights assigned to ...

What if we told you that the secret to making your data unforgettable lies not in the numbers themselves, but in how you present them? Imagine transforming a dull spreadsheet into a vibrant, engaging ...

Prerequisite: Introduction to Python for Absolute Beginners or some experience using Python. You’ve cleaned and analyzed your data, now learn how to visualize it. Visualizing data is critical for both ...

Heatmaps of the danger index (custom metric) of different regions in Tokyo at different times of year. Shows insight into crime-type and how much surrounding regions influence a particular region.

In today’s data-rich environment, business are always looking for a way to capitalize on available data for new insights and increased efficiencies. Given the escalating volumes of data and the ...

Scott Nelson and Bob Rinaldi show how data visualization and AI are transforming operations like syndication, revealing hidden trends and driving smarter, faster decisions. When we were children, we ...