During this study course, We're going to discover using proof assistants, computer applications that permit us to write down, automate, and mechanically Test proofs. These instruments have two main works by using. They allow us to verify properties of our systems, therefore guaranteeing that our code is free of software problems.
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This class introduces the foundations of equipment Discovering and gives a systematic look at of A selection of machine learning algorithms. Topics covered consist of two parts: (1) a mild introduction of device Studying: generalization and model variety, regression and classification, kernels, neural networks, clustering and dimensionality reduction; (two) a statistical viewpoint of device Mastering, wherever We are going to dive into several probabilistic supervised and unsupervised models, including logistic regression, Gaussian mixture styles, and generative adversarial networks.
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