[ 机器学习 - 吴恩达 ] | 1-2 What is machine learning
作者:互联网
Machine learning definition
- Arthur Samuel (1959). Machine Learning: Field of study that gives computers the ability to learn without being explicitly (明确地) programmed. (在没有明确地设置下,使计算机具有学习能力的研究领域)
- Tom Michell (1998). Well-posed (适当的) Learning Problem: A computer program is said to learn from experience E with respect to some task T and some performance measure P, if its performance on T, as measured by P, improves with experience E. (一个适当的学习问题:计算机程序从经验E中学习,解决某一任务T,进行某一性能度量P,通过P测定在T上的表现因经验E而提高。)
Machine learing algorithms:
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Supervised learning
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Unsupervised learning
Others: Reinforcement learning, recommender systems.
Also talk about: Practical advice for applying learning algorithms.
标签:Machine,吴恩达,some,What,experience,machine,algorithms,learning,performance 来源: https://www.cnblogs.com/DeepRS/p/15582391.html