Delivery: Can be download immediately after purchasing. For new customer, we need process for verification from 30 mins to 12 hours.
Version: PDF/EPUB. If you need EPUB and MOBI Version, please send contact us.
Compatible Devices: Can be read on any devices.
Third edition of the bestselling, widely acclaimed R machine learning book, updated and improved for R 3.6 and beyond
Harness the power of R to build flexible, effective, and transparent machine learning models
Learn quickly with a clear, hands-on guide by experienced machine learning teacher and practitioner, Brett Lantz
Book Description
Machine learning, at its core, is concerned with transforming data into actionable knowledge. R offers a powerful set of machine learning methods to quickly and easily gain insight from your data.
Machine Learning with R, Third Edition provides a hands-on, readable guide to applying machine learning to real-world problems. Whether you are an experienced R user or new to the language, Brett Lantz teaches you everything you need to uncover key insights, make new predictions, and visualize your findings.
This new 3rd edition updates the classic R data science book to R 3.6 with newer and better libraries, advice on ethical and bias issues in machine learning, and an introduction to deep learning. Find powerful new insights in your data; discover machine learning with R.
What you will learn
Discover the origins of machine learning and how exactly a computer learns by example
Prepare your data for machine learning work with the R programming language
Classify important outcomes using nearest neighbor and Bayesian methods
Predict future events using decision trees, rules, and support vector machines
Forecast numeric data and estimate financial values using regression methods
Model complex processes with artificial neural networks — the basis of deep learning
Avoid bias in machine learning models
Evaluate your models and improve their performance
Connect R to SQL databases and emerging big data technologies such as Spark, H2O, and TensorFlow
Who this book is for
Data scientists, students, and other practitioners who want a clear, accessible guide to machine learning with R.
This is a digital product.
Machine Learning with R: Expert Techniques for Predictive Modeling 3rd Edition is written by Brett Lantz and published by Packt Publishing. The Digital and eTextbook ISBNs for Machine Learning with R are 9781788291552, 1788291557 and the print ISBNs are 9781788295864, 1788295862.

Fresh Fruit, Broken Bodies eBook
ggplot2 eBook
Schaum’s Outline of Logic 2nd edition eBook
Graph Theory with Applications to Engineering and Computer Science eBook
Great Woodcuts of Albrecht Dürer eBook
Finite Mathematics eBook
Landscape Planning: Environmental Applications eBook
Eye Movement Desensitization and Reprocessing (EMDR) Therapy, Third Edition eBook
GM G-Body Performance Upgrades 1978-1987 eBook
Criminal Law and Procedure for the Paralegal eBook
70-740 Installation, Storage, and Compute with Windows Server 2016 eBook
General Topology eBook
Excel 2007 eBook
Mastering Risk and Procurement in Project Management eBook
The Art of Sculpture Welding eBook
Biodata (Routledge Revivals): Biographical Indicators of Business Performance eBook
Parents as Partners in Education eBook
Work Motivation: History, Theory, Research, and Practice, 2nd Edition eBook
The Age of Surveillance Capitalism eBook
Math and Art: An Introduction to Visual Mathematics eBook
Microsoft Office - Integration eBook
World Architecture: A Cross-Cultural History eBook
Shelly Cashman Series Microsoft Office 365 & Access 2016: Comprehensive eBook
Statistics: Unlocking the Power of Data, Enhanced eText 2nd edition eBook
Advances in Aquaculture Hatchery Technology eBook
The Age of Surveillance Capitalism eBook
Using R for Modelling and Quantitative Methods in Fisheries eBook
Information Technology for Management: On Demand Strategies for Performance, Growth and Sustainability, Enhanced eText eBook
The Skew-Normal and Related Families eBook
Art Themes eBook
Geometry of Surfaces: A Practical Guide for Mechanical Engineers eBook
Network Security Essentials eBook
New Perspectives Microsoft Office 365 & Access 2016: Comprehensive eBook
Microsoft Office Excel 2007 Visual Basic for Applications Step by Step eBook 


Reviews
There are no reviews yet.