Which of the following are ML methods?
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Explanation:
svm is the explanation of the following ML method
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Explanation:
The “learning” in machine learning refers to a process in which machines learns from the existing data and learn new skills and knowledge from that dataset. Machine learning uses algorithms to find patterns in datasets, which might include structured or unstructured data, numeric data, or even media like audio files, images and videos.
There are many methods in Machine Learning which are as follows :
- Support Vector Machine
- K-Means
- Naive Bayes
- Nearest Neighbour
- Ensemble Methods
- Heirarchical
- Linear Regression
- Neural Networks
- Decision Tree
- Discriminant Analysis
- GLM
- GPR
- Hidden Markov Model
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