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python summer Training 2020

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support-vector machines-python-udaipur

support-vector machines In machine learning, support-vector machines (SVMs, also support-vector networks[1]) are supervised learning models with associated learning algorithms that analyze data used for classification and regression analysis. Given a set of training examples, each marked as belonging to one or the other of two categories, an SVM training algorithm builds a model that assigns new examples to one category or the other, making it a non-probabilistic binary linear classifier (although methods such as Platt scaling exist to use SVM in a probabilistic classification setting). An SVM model is a representation of the examples as points in space, mapped so that the examples of the separate categories are divided by a clear gap that is as wide as possible. New examples are then mapped into that same space and predicted to belong to a category based on the side of the gap on which they fall

What is a Artificial Intelligence

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What is a Artificial Intelligence ? artificial intelligence (AI), sometimes called machine intelligence, is intelligence demonstrated by machines, in contrast to the natural intelligence displayed by humans and animals. Computer science defines AI research as the study of "intelligent agents": any device that perceives its environment and takes actions that maximize its chance of successfully A neural network is an example of machine learning. TechTerms has the following definition of the term: “Artificial Intelligence, or AI, is the ability of a computer to act like a human being. #pythonmachinelearning #python #keeninfotech #pythontraiingudaipur #pythonsummertrainingudaipur