Book Image

R for Data Science

By : Dan Toomey
Book Image

R for Data Science

By: Dan Toomey

Overview of this book

Table of Contents (19 chapters)

About the Reviewers

Amar Gondaliya is data scientist at a leading healthcare organization. He is a Big Data and data mining enthusiast and a Pingax ( consultant. He is focused on building predictive models using data mining techniques. He loves to play with Big Data technologies and provide Big Data solutions.

He has been working in the field of data science for more than 2 years. He is a contributor at Pingax and has written multiple posts on machine learning and its implementation in R. He is continuously working on new machine learning techniques and Big Data analytics.

Mohammad Rafi is a software engineer who loves data analytics, programming, and tinkering with anything he can get his hands on. He has worked on technologies such as R, Python, Hadoop, and JavaScript. He is an engineer by day and a hardcore gamer by night. As of writing this book, he is fanatical about his Raspberry Pi.

He has more than 6 years of very diversified professional experience, which includes app development, data processing, search expert, and web data analytics. He started with a web marketing company named Position2. Since then, he has worked with companies such as Hindustan Times, Google, and InMobi.

Tengfei Yin earned his Bachelor of Science degree in Biological Science and Biotechnology from Nankai University in China and completed his PhD in Molecular, Cellular, and Developmental Biology (MCDB) with focus on Computational Biology and Bioinformatics from Iowa State University. His research interests include information visualization, high-throughput biological data analysis, data mining, machine learning, and applied statistical genetics. He has developed and maintained several software packages in R and Bioconductor.