The Hundred-Page Machine Learning Book
This book covers supervised and unsupervised learning, support vector machines, neural networks, ensemble methods, gradient descent, cluster analysis and dimensionality reduction, autoencoders and transfer learning, feature engineering and hyperparameter tuning.
on Jan 17, 2019 in
Andriy Burkov, Book, Machine Learning, Peter Norvig
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