MiataDrivers - Machine Learning With R Cookbook - 110 Recipes for Building Powerful Predictive Models with R
Yu-Wei, Chiu (David Chiu)
[PDF.zb50] MiataDrivers - Machine Learning With R Cookbook - 110 Recipes for Building Powerful Predictive Models with R Rating: 4.87 (531 Votes)
Machine Learning With R Yu-Wei, Chiu (David Chiu) epub Machine Learning With R Yu-Wei, Chiu (David Chiu) pdf download Machine Learning With R Yu-Wei, Chiu (David Chiu) pdf file Machine Learning With R Yu-Wei, Chiu (David Chiu) audiobook Machine Learning With R Yu-Wei, Chiu (David Chiu) book review Machine Learning With R Yu-Wei, Chiu (David Chiu) summary | #888935 in Books | 2015-03-31 | 2015-03-26 | Original language:English | PDF # 1 | 9.25 x1.00 x7.50l,1.66 | File type: PDF | 405 pages||17 of 17 people found the following review helpful.| A very good book that complements other machine learning sources|By GES|Since books are expensive, I tend to research extensively before deciding on which ones to purchase. For professional reasons, I wanted to branch into machine learning using the R programming language. Based on customer reviews, the “Look Inside” feature, and online suggestions, I invested|About the Author||Yu-Wei, Chiu (David Chiu) |Yu-Wei, Chiu (David Chiu) is the founder of LargitData. He has previously worked for Trend Micro as a software engineer, with the responsibility of building big data platforms for business intelligence and cust
Key Features
Apply R to simplify predictive modeling with short and simple code
Use machine learning to solve problems ranging from small to big data
Build a training and testing dataset from the churn dataset, applying different classification methods
Book Description
The R language is a powerful open source functional programming language. At its core, R is a statistical programming language that provides impressive t...
You can specify the type of files you want, for your device.Machine Learning With R Cookbook - 110 Recipes for Building Powerful Predictive Models with R | Yu-Wei, Chiu (David Chiu). I have read it a couple of times and even shared with my family members. Really good. Couldnt put it down.
