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Mastering Predictive Analytics with R

You're reading from  Mastering Predictive Analytics with R

Product type Book
Published in Jun 2015
Publisher
ISBN-13 9781783982806
Pages 414 pages
Edition 1st Edition
Languages
Authors (2):
Rui Miguel Forte Rui Miguel Forte
Profile icon Rui Miguel Forte
Rui Miguel Forte Rui Miguel Forte
Profile icon Rui Miguel Forte
View More author details

Table of Contents (19) Chapters

Mastering Predictive Analytics with R
Credits
About the Author
Acknowledgments
About the Reviewers
www.PacktPub.com
Preface
Gearing Up for Predictive Modeling Linear Regression Logistic Regression Neural Networks Support Vector Machines Tree-based Methods Ensemble Methods Probabilistic Graphical Models Time Series Analysis Topic Modeling Recommendation Systems Index

About the Author

Rui Miguel Forte is currently the chief data scientist at Workable. He was born and raised in Greece and studied in the UK. He is an experienced data scientist who has over 10 years of work experience in a diverse array of industries spanning mobile marketing, health informatics, education technology, and human resources technology. His projects include the predictive modeling of user behavior in mobile marketing promotions, speaker intent identification in an intelligent tutor, information extraction techniques for job applicant resumes, and fraud detection for job scams. Currently, he teaches R, MongoDB, and other data science technologies to graduate students in the business analytics MSc program at the Athens University of Economics and Business. In addition, he has lectured at a number of seminars, specialization programs, and R schools for working data science professionals in Athens. His core programming knowledge is in R and Java, and he has extensive experience working with a variety of database technologies, such as Oracle, PostgreSQL, MongoDB, and HBase. He holds a master's degree in electrical and electronic engineering from Imperial College London and is currently researching machine learning applications in information extraction and natural language processing.

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