Machine learning: Trends, perspectives, and prospects

@article{Jordan2015MachineLT,
  title={Machine learning: Trends, perspectives, and prospects},
  author={Michael I. Jordan and T. Mitchell},
  journal={Science},
  year={2015},
  volume={349},
  pages={255 - 260}
}
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… Expand
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  • Jayesh Patel
  • Computer Science
  • 2020 IEEE 44th Annual Computers, Software, and Applications Conference (COMPSAC)
  • 2020
Machine Learning in Risk Prediction.
...
1
2
3
4
5
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References

SHOWING 1-10 OF 67 REFERENCES
Machine learning - a probabilistic perspective
  • K. Murphy
  • Computer Science
  • Adaptive computation and machine learning series
  • 2012
The Elements of Statistical Learning: Data Mining, Inference, and Prediction
Deep learning in neural networks: An overview
Using More Data to Speed-up Training Time
Reinforcement Learning: An Introduction
Computational and statistical tradeoffs via convex relaxation
Transfer Learning for Reinforcement Learning Domains: A Survey
Randomized Algorithms for Matrices and Data
...
1
2
3
4
5
...