This book presents the fundamental research design and implementation related to machine learning techniques. Chapter One briefly describes the general concepts of machine learning related fields and applications, followed by the machine learning implementation methodology in Chapter Two. To demonstrate the methodology, Chapter Three and Chapter Four present the related research and findings of machine learning predictive models for classification and regression problems. The machine learning classification model was tested on real dataset of companies in Malaysia related to tax avoidance. The machine learning regression model was tested on real dataset of housing prices in Petaling Jaya, Malaysia. In Chapter Five, there is also information on current automated machine learning techniques and a summary of prior research. Chapter Six contains the conclusion remarks. This book can be used as guidelines for researchers who plan to embark on predictive modelling (regression or classification), students who are learning data sciences, and lecturers in computing and other fields.

Instructor Biography

Ts Dr. Suraya Masrom is an Associate Professor in Computing Science Studies at the College of Computing, Informatics, and Mathematics, Universiti Teknologi MARA, Perak. She earned her Ph.D in Information Technology and Quantitative Science from Universiti Teknologi MARA (UiTM) in 2015. Her career in the industry began as an Associate Network Engineer at Ramgate Systems Sdn. Bhd. (a subsidiary of DRB-HICOM) in June 1996, after completing her bachelor's degree in computer science from Universiti Teknologi Malaysia (UTM). Following this, she transitioned to a full-time lecturer position at UTM after obtaining her master's degree from Universiti Putra Malaysia in 2001. In 2004, she transferred to UiTM, Seri Iskandar, Perak, Malaysia. Currently, she is a research member of the Machine Learning and Interactive Visualization Research Group (MaLIV) at the UiTM Perak Branch.


Sr Dr. Thuraiya Mohd is an Associate Professor in the Department of Real Estate Management, College of Built Environment, Universiti Teknologi MARA, Perak.  Graduated with Ph.D in Real Estate and an MSc in Land Development and Administration at the UTM in 2003. She received a First Class Honours Bachelor's degree in Estate Management from UiTM in 2001. Before joining UiTM, she worked as a Valuation Executive with Ismail & Co for two years. She has been actively involved in machine learning research that applied to real estate issues. She is currently one of the research members of the Machine Learning and Interactive Visualization (MaLIV) Research Group at the UiTM Perak Branch.


Dr. Rahayu Abdul Rahman is an Associate Professor at the Faculty of Accountancy, UiTM. She received her PhD in Accounting from Massey University, Auckland, New Zealand, in 2012. Her research interests surround areas like financial reporting quality, such as earnings management and accounting conservatism, as well as financial leakages, including financial reporting frauds and tax aggressiveness. She has published many research papers on machine learning and its application to corporate tax avoidance. She currently serves as a research member of the Machine Learning and Interactive Visualization (MaLIV) Research Group at UiTM Perak Branch.

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