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Learn Unity ML-Agents - Fundamentals of Unity Machine Learning by Micheal Lanham

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Training models

Machine Learning is so aptly named because it uses various forms of training to analyze data or state and provide that trained response. These methods are worth mentioning and we will focus on one particular method of learning that is currently showing good success. Before we get to that though, for later chapters, let's breakdown the three types of training we frequently see in ML:

  • Unsupervised Training: This method of training examines a dataset on its own and performs a classification. The classification may be based on certain metrics and can be discovered by the training itself. Most people used to think that all AI or ML worked this way, but of course, it does not:
    • ESRI, which is a major mapping provider of GIS software ...

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