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Ajouter au panierEtat : good. Supports Goodwill of Silicon Valley job training programs. The cover and pages are in Good condition! Any other included accessories are also in Good condition showing use. Use can include some highlighting and writing, page and cover creases as well as other types visible wear.
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Ajouter au panierpaperback. Etat : New. Paperback Pages Number: 235 Statistical Learning is an important subject of the computer and its applications. Statistical learning methods comprehensive and systematic introduction of a statistical learning method. especially supervised learning methods. including perceptron. k-nearest neighbor. naive Bayesian. decision trees. logistic regression and maximum entropy model. support vector machines to enhance the method. the em algorithm. hidden Markov model and the conditions with the airport.
Vendeur : liu xing, Nanjing, JS, Chine
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Ajouter au panierpaperback. Etat : New. Paperback. Pub Date: 2016-01-01 Publisher: People's Posts and Telecommunications Press. Tsinghua University Press Machine Learning Theory Guide-This book aims to provide an introductory guide for readers who are interested in machine learning theory study and research.?After preparing the knowledge. the chapters of the book focus on: learnability. (hypothetical space) complexity. generalization bound. stability. consistency. convergence rate. regret bound.?In addition to introducing basic con.