The first steps with Machine learning -- learning-ai


The learning that is being done is always based on some sort of observations or data, such as examples, direct experience, or instruction. For instance, you might wish to predict how much a user Bob will like a movie that he hasn't seen, based on her ratings of movies that he has seen. This means making informed guesses about some unobserved property of some object, based on observed properties of that object. Supervised learning is a type of machine learning algorithm that uses a known dataset (called the training dataset) to make predictions. The training dataset includes input data and response values.

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