Introduction Data cleaning in machine learning pipeline is a crucial preprocessing step that involves identifying and removing missing, duplicate, or irrelevant data.Raw data (such as log files...
Agentic AI represents the next leap forward in artificial intelligence, moving beyond simple prompt-response systems. Most AI tools are limited to generating text, images, or predictions when asked...
Charts, graphs, and maps are used in data visualisation to display information in an understandable and straightforward manner. It transforms complicated data into easily understood images. Every...
The process that provides organised guidance for the creation and implementation of machine learning models is known as the machine learning lifecycle. It involves a number of steps. For the machine...
Introduction: Data is the new oil in the digital age, and Big Data is the refinery. With the rapid increase in volume, variety, and velocity, businesses are adopting data technologies to transform how...
Introduction Just a few years ago, augmented reality (AR) and virtual reality (VR) felt like futuristic concepts. But in 2025, immersive AR/VR experiences are no longer speculative—they are actively...
Finding meaning in large datasets has become both difficult and essential in a society that is becoming more and more data-driven. Presenting AI and machine learning-driven visualization, a potent...
Artificial intelligence (AI) is no longer limited to processing just text or images—it’s becoming multimodal, meaning it can now understand and generate outputs across text, image, audio, and video...
Introduction to DataBase: In today’s data-driven world, understanding what is a database has become essential for developers, analysts, and businesses alike.Databases are at the heart of practically...