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Hands-On Machine Learning with C# by Matt R. Cole

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Supervised learning

These types of machine learning models are used to predict the outcome based upon the data presented to it. The instructions provided are explicit and detailed, or at least should be, which is what has garnered the label supervised. We are basically learning a function which maps an input to an output based upon input and output pairs. This function is inferred from training data which is called labeled, in that it specifically tells the function what it expects. In supervised learning, there is always an input and corresponding output (or more correctly, a desired output value). More formally, this type of algorithm uses a technique known as inductive bias to accomplish this, which basically means that there are a set ...

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