AI Glossary (2024 Updated)
This glossary will be regularly updated. A B C D E F G H L M N O P R S T W Z
This glossary will be regularly updated. A B C D E F G H L M N O P R S T W Z
Imagine this: your carefully built CI/CD pipeline, the backbone of your software delivery process, has just been breached. Sensitive data leaks out, malicious code slips into production, and your team…
Think about trying to solve a complex puzzle with missing, distorted, or incomplete pieces. It wouldn’t be easy, right? That’s exactly what happens when machine learning models are fed raw,…
Data is at the heart of everything AI does. Whether it’s recognizing objects in photos or understanding human speech, AI relies on vast amounts of high-quality data. But here’s the…
Artificial Intelligence (AI) is transforming the landscape of technology by mimicking human cognitive functions, such as learning, decision-making, and problem-solving. At its core, AI refers to systems designed to simulate…
In the era of big data, businesses and researchers are increasingly grappling with the challenge of scaling machine learning models to analyze massive datasets. Enter Apache Spark MLlib—the go-to machine…
When you hear the word algorithm, it might sound like tech jargon. But in the world of Artificial Intelligence (AI), algorithms are the lifeblood that make everything tick. From predicting…
AI has taken the world by storm, transforming industries and everyday life. But as we marvel at its potential, there’s a growing concern among experts: What happens when AI becomes…
A Bayesian Network is a powerful statistical model used to represent probabilistic relationships between a set of variables. These models rely on a directed acyclic graph (DAG), where each node…
Convolutional Neural Networks (CNNs) are a specialized class of deep neural networks, most commonly applied to analyzing visual imagery. CNNs have been pivotal in advancing computer vision, enabling machines to…