🔍 Automatically identifying and analyzing events from social media platforms (Twitter, Facebook, etc.) 🌎 Covering diverse event types from natural disasters to viral phenomena 🤖 Leveraging AI to ...
Abstract: In many data domains, such as engineering and medical diagnostics, the inherent uncertainty within datasets is a critical factor that must be addressed during decision-making processes. To ...
Learn how gradient descent really works by building it step by step in Python. No libraries, no shortcuts—just pure math and ...
Learn how to implement the K-Nearest Neighbors (KNN) algorithm from scratch in Python! This tutorial covers the theory, ...
D.C. public libraries saw record engagement in 2025 with 3.2 million visits and over 6.2 million items borrowed, including ...
sensAI is a high-level AI toolkit with a specific focus on rapid experimentation for machine learning applications. Through high levels of abstraction and integration, sensAI minimises overhead whilst ...