0
Your cart

Your cart is empty

Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning

Buy Now

Machine Learning with R - Expert techniques for predictive modeling, 3rd Edition (Paperback, 3rd Revised edition) Loot Price: R1,589
Discovery Miles 15 890
Machine Learning with R - Expert techniques for predictive modeling, 3rd Edition (Paperback, 3rd Revised edition): Brett Lantz

Machine Learning with R - Expert techniques for predictive modeling, 3rd Edition (Paperback, 3rd Revised edition)

Brett Lantz

 (sign in to rate)
Loot Price R1,589 Discovery Miles 15 890 | Repayment Terms: R149 pm x 12*

Bookmark and Share

Expected to ship within 10 - 15 working days

Solve real-world data problems with R and machine learning Key Features 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 DescriptionMachine 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 forData scientists, students, and other practitioners who want a clear, accessible guide to machine learning with R.

General

Imprint: Packt Publishing Limited
Country of origin: United Kingdom
Release date: April 2019
Authors: Brett Lantz
Dimensions: 235 x 190 x 24mm (L x W x T)
Format: Paperback
Pages: 437
Edition: 3rd Revised edition
ISBN-13: 978-1-78829-586-4
Categories: Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning
LSN: 1-78829-586-2
Barcode: 9781788295864

Is the information for this product incomplete, wrong or inappropriate? Let us know about it.

Does this product have an incorrect or missing image? Send us a new image.

Is this product missing categories? Add more categories.

Review This Product

No reviews yet - be the first to create one!

Partners