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Description de l’éditeur
If you have a question about Machine Learning this is the book with the answers. Machine Learning: Questions and Answers takes some of the best questions and answers asked on the stats.stackexchange.com website.
You can use this book to look up commonly asked questions, browse questions on a particular topic, compare answers to common topics, check out the original source and much more. This book has been designed to be very easy to use, with many internal links set up that makes browsing in many different ways possible.
Topics covered include: Classification, R, SVM, Neural Networks, Cross Validation, Data Mining, Regression, Random Forest, References, Clustering, Kernel Trick, Boosting, Text Mining, Predictive Models, Machine Learning, Bayesian, Dataset, Time Series, Python, CART, ROC and many more.