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Hands-On Machine Learning with R (Chapman & Hall/CRC The R Series)

Book Specification

Binding Hardcover
Language English
Number Of Pages 488
Author Brad Boehmke
Publisher Chapman and Hall/CRC
Isbn-10 1138495689
Isbn-13 9781138495685
Dimension 15.57*0.0*23.5

Hands-On Machine Learning with R (Chapman & Hall/CRC The R Series)

Brad Boehmke's Hands-On Machine Learning with R (Chapman & Hall/CRC The R Series)

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.

Popular Tags: Hands-on Approach Deep Learning Feature Engineering Intuitive Understanding Machine Learning Process Machine Learning Stack Popular Machine Learning Methods Reader will be Exposed Other Topics

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Amazon, Hardcover Rs. 4923.0

Why you should read Hands-On Machine Learning with R (Chapman & Hall/CRC The R Series) by Brad Boehmke

This book has been written by Brad Boehmke, who has written books like Hands-On Machine Learning with R (Chapman & Hall/CRC The R Series). The books are written in Econometrics category. This book is read by people who are interested in reading books in category : Econometrics. So, if you want to explore books similar to This book, you must read and buy this book.

How long would it take for you to read Hands-On Machine Learning with R (Chapman & Hall/CRC The R Series)

Depending on your reading style, this is how much time you would take to complete reading this book.

Reading Style Time To Finish The Book
Slow 97 hours
Average 48 hours
Good 32 hours
Excellent 16 hours
So if you are a Reader belonging in the Good category, and you read it daily for 1 hour, it will take you 32 days.
Note: A slow reader usually reads 100 words per minute, an average reader 200 words per minute, an average reader 300 words per minute and an excellent leader reads about 600-1000 words per minute, however the comprehension may vary.
This is the price history of this book:
Time Price
2019-12-06 19:05:34 +0530

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