What Is Manifold Learning?

PERPETUAL ENIGMA

1 mainMachine learning is being used extensively in fields like computer vision, natural language processing, and data mining. In many modern applications that are being built, we usually derive a classifier or a model from an extremely large data set. The accuracy of the training algorithms is directly proportional to the amount of data we have. So most modern data sets often consist of a large number of examples, each of which is made up of many features. Having access to a lot of examples is very useful in extracting a good model from the data, but managing a large number of features is usually a burden to our algorithm. The thing is that some of these features may be irrelevant, so it’s important to make sure the final model doesn’t get affected by this. If the feature sets are complex, then our algorithm will be slowed down and it will…

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