machine_learning

Machine learning

Machine learning can be defined as a situation where a machine is given a task in which the machine performance improves with experience 1)

Its a domain of artificial intelligence that allows computer algorithms to learn patterns by studying data directly without being explicitly programmed 2) 3).

ML methods are already widely applied in multiple aspects of our daily lives, although this is not always obvious to the casual observer; common examples are email spam filters, search suggestions, online shopping suggestions, and speech recognition in smartphones 4).

see Machine learning in neurosurgery.


1)
Haykin S.S. Neural Networks and Learning Machines. Volume 3 Pearson; Upper Saddle River, NJ, USA: 2009.
2)
Mitchell, TM. Machine Learning . Vol. 1. New York: McGraw-Hill Science/Engineering/Math; 1997.
3)
Noble WS. What is a support vector machine? Nat Biotechnol . 2006;24(12):1565-1567.
4)
Jordan MI, Mitchell TM. Machine learning: trends, perspectives, and prospects. Science . 2015;349(6245):255-260.
  • machine_learning.txt
  • Last modified: 2019/08/21 12:13
  • by administrador