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Support Vector Machine Learning:
Support Vector Machine Learning is most important topic in machine learning so friends today Let’s start with SVM in Machine Learning.
Think of machine learning algorithms as an armoury packed with axes, sword, blades, bow, dagger, etc. You have various tools, but you ought to learn to use them at the right time. As an analogy, think of Regression as sword capable of slicing and dicing data efficiently, but incapable of dealing with highly complex data. On the contrary, ‘Support Vector Machines’ is like a sharp knife – it works on smaller datasets, but on the complex ones, it can be much stronger and powerful in building machine learning models.
Application of SVM in Machine Learning:
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