Yu-Wei - Machine Learning With R Cookbook

Yu-Wei, Chiu (David Chiu) is the founder of LargitData (www.LargitData.com). He has previously worked for Trend Micro as a software engineer, with the responsibility of 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 Python, R, Hadoop, and tech talks at a variety of conferences.

In 2013, Yu-Wei reviewed Bioinformatics with R Cookbook , Packt Publishing . For more information, please visit his personal website at www.ywchiu.com.

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; Taiwan R User Group; Data Science Program (DSP); and other friends who have offered their support.

Tarek Amr currently works as a data scientist at bidx in the Netherlands. He has an MSc degree from the University of East Anglia in knowledge discovery and data mining. He also volunteers at the Open Knowledge Foundation and School of Data, where he works on projects related to open data and gives training in the field of data journalism and data visualization. He has reviewed another book, Python Data Visualization Cookbook, Packt Publishing , and is currently working on writing a new book on data visualization using D3.js.

You can find out more about him at http://tarekamr.appspot.com/.

Abir Datta (data scientist) has been working as a data scientist in Cognizant Technology Solutions Ltd. in the fields of insurance, financial services, and digital analytics verticals. He has mainly been working in the fields of analytics, predictive modeling, and business intelligence/analysis in designing and developing end-to-end big data integrated analytical solutions for different verticals to cater to a client's analytical business problems. He has also developed algorithms to identify the latent characteristics of customers so as to take channelized strategic decisions for much more effective business success.

Abir is also involved in risk modeling and has been a part of the team that developed a model risk governance platform for his current organization, which has been widely recognized across the banking and financial service industry.

Saibal Dutta is presently researching in the field of data mining and machine learning at the Indian Institute of Technology, Kharagpur, India. He also holds a master's degree in electronics and communication from the National Institute of Technology, Rourkela, India. He has also worked at HCL Technologies Limited, Noida, as a software consultant. In his 4 years of consulting experience, he has been associated with global players such as IKEA (in Sweden), Pearson (in the U.S.), and so on. His passion for entrepreneurship has led him to start his own start-up in the field of data analytics, which is in the bootstrapping stage. His areas of expertise include data mining, machine learning, image processing, and business consultation.

Ratanlal Mahanta (senior quantitative analyst) holds an MSc in computational finance and is currently working at the GPSK Investment Group as a senior quantitative analyst. He has 4 years of experience in quantitative trading and strategy developments for sell-side and risk consultation firms. He is an expert in high frequency and algorithmic trading.

He has expertise in the following areas:

He has already reviewed two books for Packt Publishing: Mastering Scientific Computing with R and Mastering Quantitative Finance with R .

Currently, he is reviewing a book for Packt Publishing: Mastering Python for Data Science.

Ricky Shi is currently a quantitative trader and researcher, focusing on large-scale machine learning and robust prediction techniques. He obtained a PhD in the field of machine learning and data mining with big data. Concurrently, he conducts research in applied math. With the objective to apply academic research to real-world practice, he has worked with several research institutes and companies, including Yahoo! labs, AT&T Labs, Eagle Seven, Morgan Stanley Equity Trading Lab (ETL), and Engineers Gate Manager LP, supervised by Professor Philip S. Yu.

His research interest covers the following topics: