Latest posts
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What Is a Neural Network and How Does It Work?
A neural network is a machine learning model made of many simple calculation units, called neurons, arranged in layers. Each neuron multiplies its inputs by adjustable numbers called weights, adds them up, and passes the result through a simple function. Data flows through the layers to produce a prediction, and the network improves by comparing…
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How Does Machine Learning Actually Learn From Data?
Machine learning learns by trial and correction. A model starts with arbitrary numerical settings, makes predictions on examples, measures how wrong those predictions are, and then adjusts its settings slightly to be less wrong. It repeats that loop thousands or millions of times. The result is a set of numbers that captures patterns in the…
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AI vs Machine Learning vs Deep Learning: What’s the Difference?
Artificial intelligence (AI) is the broad goal of making machines perform tasks that normally need human intelligence. Machine learning (ML) is a subset of AI in which systems learn patterns from data instead of following hand-written rules. Deep learning is a subset of machine learning that uses neural networks with many layers to learn from…
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What Is Artificial Intelligence? A Plain-English Guide for Beginners
Artificial intelligence, or AI, is technology that lets computers perform tasks that normally require human thinking, such as understanding language, recognizing images, making predictions, and solving problems. Instead of following a fixed list of instructions, most modern AI systems learn patterns from large amounts of data and use those patterns to handle new situations. That…