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

I'm not a programmer, but I tried four vibe coding tools to see if I could build anything at all on my own. Here's what I did and did not accomplish.

A key component of election studies is working with diverse forms of data. These include voter lists, candidate details, ...

Overview:  AI is transforming every industry, making skills like machine learning, data science, and automation essential for ...

Abstract: Human trafficking is a serious problem that requires new ideas and data-driven approaches to identify and solve. In this study, we analyze large datasets to identify patterns and anomalies ...

Abstract: Social media platforms, particularly Twitter, have become vital sources for understanding public sentiment due to the rapid, large-scale generation of user opinions. Sentiment analysis of ...

Discover how Fourier Analysis breaks down complex time series data into simpler components to identify trends and patterns, despite its limitations in stock forecasting.

Simplify complex datasets using Principal Component Analysis (PCA) in Python. Great for dimensionality reduction and ...

AI data centers require incredible amounts of energy to run. NPR's Planet Money investigates how that demand for power might affect your electric bills. Tech companies invested hundreds of billions of ...

Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...