Machine Learning books and eBooksFeatured BooksA Theory of Learning and Generalizationby M. VidyasagarProvides a formal mathematical theory for addressing intuitive questions of the type: How does a machine learn a new concept on the basis of examples? How can a neural network, after sufficient training, correctly predict the output of a previously unseen input? How much training is required to achieve a specified level of accuracy in the prediction? How can one identify the dynamical behaviour of a nonlinear control system by observing its input-output behaviour over a finite interval of time? ... Nearest-Neighbor Methods in Learning and Vision: Theory and Practiceby Gregory ShakhnarovichPiotr Indyk Trevor Darrell This book features advances in computational geometry and machine learning that offer new methods for search, regression, and classification with large amounts of high-dimensional data. Regression and classification methods based on similarity of the input to stored examples have not been widely used in applications involving very large sets of high-dimensional data. Recent advances in computational geometry and machine learning, however, may alleviate the problems in using these methods on larg... View all Machine Learning books Popular Machine Learning books and eBooks in the last 24 hoursView all Machine Learning titles |
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