Tidy Modeling with R
A Framework for Modeling in the Tidyverse
|Price||$44.93 - $55.03
|Authors||Max Kuhn, Julia Silge|
|Format||Paper book / ebook (PDF)|
Get going with tidymodels, a collection of R packages for modeling and machine learning. Whether you're just starting out or have years of experience with modeling, this practical introduction shows data analysts, business analysts, and data scientists how the tidymodels framework offers a consistent, flexible approach for your work.
RStudio engineers Max Kuhn and Julia Silge demonstrate ways to create models by focusing on an R dialect called the tidyverse. Software that adopts tidyverse principles shares both a high-level design philosophy and low-level grammar and data structures, so learning one piece of the ecosystem makes it easier to learn the next. You'll understand why the tidymodels framework has been built to be used by a broad range of people.
With this book, you will: Learn the steps necessary to build a model from beginning to end; Understand how to use different modeling and feature engineering approaches fluently; Examine the options for avoiding common pitfalls of modeling, such as overfitting; Learn practical methods to prepare your data for modeling; Tune models for optimal performance; Use good statistical practices to compare, evaluate, and choose among models.
5 5 28
by Josh Long, Steve Mayzak
Spring Roo goes a step beyond the Spring Framework by bringing true Rapid Application Development to Java - just as Grails has done with Groovy. This concise introduction shows you how to build applications with Roo, using the framework's shell as an intelligent and timesaving code-completion tool. It's an ideal RAD tool because...
Price: $14.99 | Publisher: O'Reilly Media | Release: 2011
by Francois Chollet, J. J. Allaire
Machine learning has made remarkable progress in recent years. Deep-learning systems now enable previously impossible smart applications, revolutionizing image recognition and natural-language processing, and identifying complex patterns in data. The Keras deep-learning library provides data scientists and developers working in R a state-...
Price: $13.66 | Publisher: Manning | Release: 2018
by Nina Zumel, John Mount
Practical Data Science with R, Second Edition takes a practice-oriented approach to explaining basic principles in the ever expanding field of data science. You'll jump right to real-world use cases as you apply the R programming language and statistical analysis techniques to carefully explained examples based in marketing, business...
Price: $39.99 | Publisher: Manning | Release: 2019
by Brett Lantz
Updated and upgraded to the latest libraries and most modern thinking, Machine Learning with R, Second Edition provides you with a rigorous introduction to this essential skill of professional data science. Without shying away from technical theory, it is written to provide focused and practical knowledge to get you building algorithms an...
Price: $39.99 | Publisher: Packt Publishing | Release: 2015
by John M. Quick
R is a data analysis tool, graphical environment, and programming language. Without any prior experience in programming or statistical software, this book will help you quickly become a knowledgeable user of R. Now is the time to take control of your data and start producing superior statistical analysis with R.This book will take you on ...
Price: $26.99 | Publisher: Packt Publishing | Release: 2010
by David Robinson, Julia Silge
Much of the data available today is unstructured and text-heavy, making it challenging for analysts to apply their usual data wrangling and visualization tools. With this practical book, you'll explore text-mining techniques with tidytext, a package that authors Julia Silge and David Robinson developed using the tidy principles behin...
Price: $24.80 | Publisher: O'Reilly Media | Release: 2017
by Hefin I. Rhys
Machine learning (ML) is a collection of programming techniques for discovering relationships in data. With ML algorithms, you can cluster and classify data for tasks like making recommendations or fraud detection and make predictions for sales trends, risk analysis, and other forecasts. Once the domain of academic data scientists, machin...
Price: $39.99 | Publisher: Manning | Release: 2020
by Gergely Daroczi
R is an essential language for sharp and successful data analysis. Its numerous features and ease of use make it a powerful way of mining, managing, and interpreting large sets of data. In a world where understanding big data has become key, by mastering R you will be able to deal with your data effectively and efficiently.This book will ...
Price: $54.99 | Publisher: Packt Publishing | Release: 2015