Chapter 2: Core Technologies Behind AI Tools
Abstract: The core technologies behind modern AI tools are Machine Learning (especially deep learning and neural networks), Natural Language Processing , Computer Vision , and Generative AI , all underpinned by powerful computing infrastructure and vast datasets. Core AI Technologies Machine Learning (ML): Systems use this technology to automatically learn from data, identify patterns, and make decisions or predictions without explicit programming. Types of Machine Learning include: Supervised Learning: This type of learning uses labeled data to predict outcomes, such as email spam detection. Unsupervised Learning: This method finds patterns in unlabeled data, for example, customer segmentation. Reinforcement Learning: This approach learns through trial and error, using a system of rewards and penalties, for example, training autonomous vehicles. Deep Learning (DL): A specialized subset of ML uses artificial ...
