Comparing: Machine Learning
How does Wikipedia describe Machine Learning compared to Grokipedia, the AI-powered encyclopedia by xAI? Read both summaries below, then vote on which source you find more accurate and trustworthy.
Wikipedia
Machine learning
Machine learning (ML) is a field of study in artificial intelligence concerned with the development and study of statistical algorithms that can learn from data and generalize to unseen data, and thus perform tasks without explicit instructions. Within a subdiscipline in machine learning, advances in the field of deep learning have allowed neural networks, a class of statistical algorithms, to surpass many previous machine learning approaches in performance.
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Grokipedia
Machine learning
Machine learning is the study of algorithms that improve performance on tasks by learning from data , enabling computers to identify patterns and make predictions without explicit programming for each scenario. This is typically achieved through iterative processes that adjust model parameters or structures to minimize differences between predicted and actual outcomes on training data. The term was popularized by Arthur Samuel in 1959 through his work on a self-learning checkers-playing program at IBM , marking an early demonstration of inductive learning from game data . As a core subfield of artificial intelligence , machine learning encompasses paradigms such as supervised learning , where models train on labeled examples to map inputs to outputs; unsupervised learning , which uncovers hidden structures in unlabeled data ; and reinforcement learning , where agents optimize actions via rewards and penalties in dynamic environments. Key achievements include the resurgence of deep neural networks in the 2010s, powering breakthroughs in image classification surpassing human accuracy on benchmarks like ImageNet
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