Machine learning is the field of study that gives computers the ability to learn without being explicitly programmed.
It is grew out of work in AI and assigning new capability to computers.
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.
[Suppose your email program watches which email you do mark as spam or do not, based on that learn how to better filter spam. Then classifying email as spam or not - T, label email as spam/not spam - E, the number of emails correctly classified as spam/not spam - P.]
Types of machine learning algorithm:
It is grew out of work in AI and assigning new capability to computers.
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.
[Suppose your email program watches which email you do mark as spam or do not, based on that learn how to better filter spam. Then classifying email as spam or not - T, label email as spam/not spam - E, the number of emails correctly classified as spam/not spam - P.]
Types of machine learning algorithm:
- Supervised machine learning
- Classification
- Regression
- Unsupervised machine learning
- Clustering
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