Machine Learning with R Cookbook
Packt Publishing Limited (Verlag)
978-1-78398-204-2 (ISBN)
Book DescriptionWhat you will learn
Who this book is for
Yu-Wei, Chiu (David Chiu) is the founder of LargitData (www.LargitData.com), a startup company that mainly focuses on providing big data and machine learning products. He has previously worked for Trend Micro as a software engineer, where he was responsible for building big data platforms for business intelligence and customer relationship management systems. In addition to being a start-up entrepreneur and data scientist, he specializes in using Spark and Hadoop to process big data and apply data mining techniques for data analysis. Yu-Wei is also a professional lecturer and has delivered lectures on big data and machine learning in R and Python, and given tech talks at a variety of conferences. In 2015, Yu-Wei wrote Machine Learning with R Cookbook, Packt Publishing. In 2013, Yu-Wei reviewed Bioinformatics with R Cookbook, Packt Publishing. For more information, please visit his personal website at www.ywchiu.com. **********************************Acknowledgement************************************** I have immense gratitude for my family and friends for supporting and encouraging me to complete this book. I would like to sincerely thank my mother, Ming-Yang Huang (Miranda Huang); my mentor, Man-Kwan Shan; the proofreader of this book, Brendan Fisher; Members of LargitData; Data Science Program (DSP); and other friends who have offered their support.
Table of Contents
R for machine learning, Practical Machine Learning With R
Data Exploration From The Titanic
R and Statistics
Regression
Classification(I) Tree, Lazy, Probabilistic
Classification(II) ? Neural Network, SVM
Model Evaluation
Ensemble Learning
Clustering
Association Analysis
Dimension Reduction
Advanced Topic - Big Data Analysis (R and Hadoop)
| Verlagsort | Birmingham |
|---|---|
| Sprache | englisch |
| Maße | 191 x 235 mm |
| Themenwelt | Mathematik / Informatik ► Informatik ► Grafik / Design |
| Mathematik / Informatik ► Informatik ► Theorie / Studium | |
| Mathematik / Informatik ► Mathematik ► Computerprogramme / Computeralgebra | |
| ISBN-10 | 1-78398-204-7 / 1783982047 |
| ISBN-13 | 978-1-78398-204-2 / 9781783982042 |
| Zustand | Neuware |
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