Machine learning
Machine learning is a way of teaching computers to do things by showing them many examples instead of giving them a strict list of instructions to follow.
A subfield of AI focused on building systems that identify statistical patterns within datasets to make predictions or decisions, rather than relying on hard-coded logic.
A field in which systems infer patterns from data rather than following explicit rules, improving performance on a task as they are exposed to more examples.
evolution
- 1952 · historyArthur Samuel's Checkers Program
Arthur Samuel develops a self-learning checkers program, coining the term 'machine learning' to describe software that improves through experience.
- 1958 · historyThe Perceptron
Frank Rosenblatt creates the Perceptron, an early artificial neural network capable of pattern recognition through iterative weight adjustment.
- 1986 · historyBackpropagation Popularization
Rumelhart, Hinton, and Williams demonstrate that backpropagation allows multi-layer neural networks to learn complex internal representations.
- 1997 · historyDeep Blue vs. Kasparov
IBM's Deep Blue defeats world chess champion Garry Kasparov, showcasing the power of search algorithms and pattern-based evaluation.
- 2012 · historyAlexNet Breakthrough
The AlexNet architecture wins the ImageNet challenge by a wide margin, triggering the modern era of deep learning and GPU-accelerated neural networks.