Sep 9, 2025
4 min read
Artificial Intelligence, a term coined in 1955 by Stanford University computer science professor John McCarthy, was originally defined as "the science and engineering of making intelligent machines"
Dec 2, 2025
Artificial General Intelligence represents a theoretical form of AI that demonstrates a broad range of problem-solving, creativity, and adaptability comparable to human intelligence.
An algorithm represents an unambiguous specification of how to solve a class of problems, capable of performing calculation, data processing, and automated reasoning tasks.
6 min read
Machine Learning represents a method that helps machines learn from data and improve at performing tasks without being explicitly programmed for every scenario.
Dec 3, 2025
5 min read
Deep Learning represents a specialized subset of machine learning that utilizes artificial neural networks with multiple layers (typically three or more) to automatically learn hierarchical representations of data.
Supervised Learning represents a fundamental machine learning paradigm where algorithms learn to predict outputs from inputs by training on labeled data—datasets where the correct answer is explicitly provided for each training example.
Unsupervised Learning encompasses a class of machine learning methods that automatically discover hidden patterns, structures, and relationships within unlabeled data—datasets where ground truth target variables are not provided.
Dec 4, 2025
Semi-supervised Learning combines elements of both supervised and unsupervised learning by utilizing both labeled and unlabeled data during training.
Classification is the task of predicting which category or class a new instance belongs to, learned from labeled historical examples.
