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Machine learning

Study of algorithms that improve automatically through experience

📊 Rating

47 news mentions · 👍 0 likes · 👎 0 dislikes

📌 Topics

  • Machine Learning (27)
  • Artificial Intelligence (13)
  • Medical Technology (2)
  • Natural Language Processing (2)
  • Foundation Models (2)
  • Reinforcement Learning (2)
  • Neural Networks (1)
  • AI Interpretability (1)
  • Machine Learning Ethics (1)
  • Resource Allocation (1)
  • Algorithmic Fairness (1)
  • Brain-Computer Interface (1)

🏷️ Keywords

Machine Learning (31) · Machine learning (13) · arXiv (8) · Large Language Models (4) · Artificial Intelligence (3) · Reinforcement Learning (3) · OpenAI (3) · Natural Language Processing (2) · AI research (2) · AI training (2) · Transformers (1) · Algorithmic cores (1) · Large language models (1) · Neural networks (1) · AI interpretability (1) · Computational invariants (1) · Algorithmic Fairness (1) · Resource Constraints (1) · Post-hoc Optimization (1) · Anti-discrimination (1)

📖 Key Information

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. ML finds application in many fields, including natural language processing, computer vision, speech recognition, email filtering, agriculture, and medicine.

📰 Related News (47)

🔗 Entity Intersection Graph

Artificial intelligence(5)Large language model(4)Reinforcement learning(4)OpenAI(3)Review article(1)Personalization(1)Recommender system(1)Neural network(1)Transformers(1)Decision-making(1)Machine learning

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