Hands-On Machine Learning with R (Chapman & Hall/CRC The R Series) - Image 1

Price loading...

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

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

Econometrics

Price History & Forecast

No Price Data Available

Price history will appear here once data is collected from Amazon.

Price Distribution

No price data available for histogram

Description

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.

Key Features

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

Product type: ABIS BOOK

Brand: Chapman and Hall/CRC

Product Specifications

Brand: CRC Press
Format: hardcover
ASIN: 1138495689
Category: Books > Subjects > Business, Finance & Law > Economics > Econometrics
Domain: Amazon UK
Release Date: 11 November 2019
Listed Since: 10 July 2019

Barcode

No barcode data available

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

Price History & Forecast

No Price Data Available

Price Distribution

Description

Key Features

Product Specifications

Barcode

Similar Products You Might Like

Behavior Analysis with Machine Learning Using R (Chapman & Hall/CRC The R Series)

Behavior Analysis with Machine Learning Using R (Chapman & Hall/CRC The R Series)

Machine Learning for Factor Investing: R Version (Chapman and Hall/CRC Financial Mathematics Series)

Machine Learning: Theory and Practice

Applied Machine Learning Using mlr3 in R

Machine Learning for Factor Investing: R Version: R Version (Chapman and Hall/CRC Financial Mathematics Series)

A Practical Machine Learning with R: Tutorials and Case Studies

Supervised Machine Learning for Text Analysis in R (Chapman & Hall/CRC Data Science Series)

Packt Machine Learning with R 3rd Edition - Predictive Modeling

Data Science in R: A Case Studies Approach to Computational Reasoning and Problem Solving (Chapman & Hall/CRC The R Series)

An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)

Data Science in R: A Case Studies Approach to Computational Reasoning and Problem Solving (Chapman & Hall/CRC: The R Series)

Practical Graph Mining with R (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)

Mathematics and Programming for Machine Learning with R: From the Ground Up

Mathematics and Programming for Machine Learning with R: From the Ground Up

Data Analytics: A Small Data Approach (Chapman & Hall/CRC Data Science Series)

Foundations of Statistical Algorithms: With References to R Packages (Chapman & Hall/CRC Computer Science & Data Analysis)

Models Demystified: A Practical Guide from Linear Regression to Deep Learning (Chapman & Hall/CRC Data Science Series)

A Greater Foundation for Machine Learning Engineering: The Hallmarks of the Great Beyond in Pytorch, R, Tensorflow, and Python

The Essentials of Data Science: Knowledge Discovery Using R (Chapman & Hall/CRC: The R Series)

Machine Learning for Healthcare: Handling and Managing Data

Statistical Foundations of Data Science (Chapman & Hall/CRC Data Science Series)

Introduction to Machine Learning with Applications in Information Security (Chapman & Hall/CRC Machine Learning & Pattern Recognition)

Data Science and Predictive Analytics: Biomedical and Health Applications using R (The Springer Series in Applied Machine Learning)