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

Antigravity is a proprietary fork of VS Code that tightly integrates Google's Gemini 3 models, giving you an edge if you want ...

Abstract: The fusion of hyperspectral images (HSIs) and multispectral images (MSI) aims to synthesize high-resolution hyperspectral image (HR-HSI) from observable low-resolution hyperspectral image ...

Rather than broad tech concepts, the focus is on practical tools and languages used by data professionals: Python for ...

The USDSI Certified Data Science Professional (CDSP) program equips learners with industry-ready skills in Data Science, ...

The final, formatted version of the article will be published soon. Background:Patients who recover from cardiac arrest with autonomous circulation often have a poor prognosis due to myocardial ...

Overview Most data science work benefits more from stable RAM and CPUs than from GPUs.The best laptops for data science ...

Objective: This study was an exploratory analysis aimed to build a cross-platform typology to categorize tobacco-related misinformation. Methods: Data from Instagram and TikTok between January 2020 ...

Abstract: Often real-world data contains missing values/ information which is not easily obtainable. These missing values can be because of any reason. Some people might not be comfortable providing a ...

This repository contains the code and documentation for a project that focuses on predicting stock market prices using LSTM models and optimizing a portfolio based on these predictions. Objective: ...

🌟 Tip: With GIS MCP Server, your AI can now “think spatially,” unlocking new capabilities for environmental analysis, mapping, and location intelligence.