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Books > Computing & IT > Applications of computing > Artificial intelligence
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Hands-On Machine Learning with R (Hardcover)
Loot Price: R2,714
Discovery Miles 27 140
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Hands-On Machine Learning with R (Hardcover)
Series: Chapman & Hall/CRC The R Series
Expected to ship within 9 - 17 working days
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Hands-on Machine Learning with R provides a practical and applied
approach to learning and developing intuition into today's most
popular machine learning methods. This book serves as a
practitioner's guide to the machine learning process and is meant
to help the reader learn to apply the machine learning stack within
R, which includes using various R packages such as glmnet, h2o,
ranger, xgboost, keras, and others to effectively model and gain
insight from their data. The book favors a hands-on approach,
providing an intuitive understanding of machine learning concepts
through concrete examples and just a little bit of theory.
Throughout this book, the reader will be exposed to the entire
machine learning process including feature engineering, resampling,
hyperparameter tuning, model evaluation, and interpretation. The
reader will be exposed to powerful algorithms such as regularized
regression, random forests, gradient boosting machines, deep
learning, generalized low rank models, and more! By favoring a
hands-on approach and using real word data, the reader will gain an
intuitive understanding of the architectures and engines that drive
these algorithms and packages, understand when and how to tune the
various hyperparameters, and be able to interpret model results. By
the end of this book, the reader should have a firm grasp of R's
machine learning stack and be able to implement a systematic
approach for producing high quality modeling results. Features: *
Offers a practical and applied introduction to the most popular
machine learning methods. * Topics covered include feature
engineering, resampling, deep learning and more. * Uses a hands-on
approach and real world data.
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