Machine learning: Trends, perspectives, and prospects

@article{Jordan2015MachineLT,
  title={Machine learning: Trends, perspectives, and prospects},
  author={Michael I. Jordan and T. M. Mitchell},
  journal={Science},
  year={2015},
  volume={349},
  pages={255 - 260}
}
  • Michael I. Jordan, T. M. Mitchell
  • Published 2015
  • Computer Science, Medicine
  • Science
  • Machine learning addresses the question of how to build computers that improve automatically through experience. It is one of today’s most rapidly growing technical fields, lying at the intersection of computer science and statistics, and at the core of artificial intelligence and data science. Recent progress in machine learning has been driven both by the development of new learning algorithms and theory and by the ongoing explosion in the availability of online data and low-cost computation… CONTINUE READING
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    References

    Publications referenced by this paper.
    SHOWING 1-10 OF 67 REFERENCES
    Machine learning - a probabilistic perspective
    • 5,423
    • PDF
    Deep learning in neural networks: An overview
    • 7,742
    • PDF
    Reinforcement Learning: An Introduction
    • 25,502
    • PDF
    Using More Data to Speed-up Training Time
    • 29
    • PDF
    A theory of the learnable
    • 3,348
    • PDF
    Randomized Algorithms for Matrices and Data
    • 672
    • PDF