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Types of Machine Learning Systems

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  Types of Machine Learning Systems There are so many different types of Machine Learning systems that it is useful to classify them in broad categories, based on the following criteria: •         Whether or not they are trained with human supervision a.       supervised, b.      unsupervised, c.       semi supervised, and d.      Reinforcement Learning •         Whether or not they can learn incrementally on the fly a.       online learning b.      batch learning •         Whether they work by simply comparing new data points to known data points , or instead by detecting patterns in the training data and building a predictive model , much like scientists do a.       instance-based b.      model-based learning These criteria are not exclusive; you can combine them in any way you like. ·        For example, a state-of-the-art spam filter may learn on the fly using a deep neural network model trained using examples of spam and ham; ·        this makes i