Md. Rezaul Karim has more than 8 years of experience in the area of research and development with a solid knowledge of algorithms and data structures, focusing C, C++, Java, R, and Python and big data technologies such as Spark, Kafka, DC/OS, Docker, Mesos, Hadoop, and MapReduce.
He was first enchanted by machine learning while studying an Advanced Artificial Intelligence post-graduate course by applying the combined technique of Hadoop-based MapReduce and machine learning together for market basket analysis on large-scale business-oriented transactional databases in back 2010. Consequently, his research interests include machine learning, data mining, Semantic Web, big data, and bioinformatics. He has published more than 30 research papers in renowned peer-reviewed international journals and conferences focusing on the areas of data mining, machine learning, and bioinformatics, with good citations.
He is a Software Engineer and Researcher currently working at the Insight Centre for Data Analytics, Ireland (the largest data analytics center in Ireland and the largest Semantic Web research institute in the world) as a PhD Researcher. He is also a PhD candidate at the National University of Ireland, Galway. He also holds an ME (Master of Engineering) degree in Computer Engineering from the Kyung Hee University, Korea, majoring in data mining and knowledge discovery. And he has a BS (Bachelor of Science) degree in Computer Science from the University of Dhaka, Bangladesh.
Before joining the Insight Center for Data Analytics, he had been working as a Lead Software Engineer with Samsung Electronics, where he worked with the distributed Samsung R&D centers across the world, including Korea, India, Vietnam, Turkey, UAE, Brazil, and Bangladesh. Before that, he worked as a Graduate Research Assistant in the Database Lab at Kyung Hee University, Korea, while working towards his Master's degree. He also worked as an R&D Engineer with BMTech21 Worldwide, Korea. Even before that, he worked as a Software Engineer with i2SoftTechnology, Dhaka, Bangladesh.
This book could not have been written without the support of my family and friends. In particular, my wife Saroar and my son Shadman deserve many thanks for their patience and encouragement throughout the past year.
I would like to give special thanks to Md. Mahedi Kaysar for co-authoring this book, and without his contributions, the writing would have been impossible. I would also like to thank Jaynal Abedin for his valuable suggestions towards different statistical and machine algorithms. Overall, I would like to dedicate this book to my respected teacher and research Guru Prof. Dr. Chowdhury Farhan Ahmed (Dept. of Computer Science & Engineering, University of Dhaka, Bangladesh) for his endless contributions to my life.
Further, I would like to thank the acquisition, content development and technical editors of Packt Publishing (and others who were involved to this book title) for their sincere cooperation and coordination. Additionally, without the work of numerous researchers who shared their expertise in publications, lectures, and source code, this book might not exist at all! Finally, I appreciate the efforts of the Apache Spark community and all those who have contributed to Spark APIs, whose work ultimately brought the machine learning to the masses.
Md. Mahedi Kaysar is a Software Engineer and Researcher at the Insight Center for Data Analytics (the largest data analytics center across the Ireland and the largest semantic web research institute in the world), Dublin City University (DCU), Ireland. Before joining the Insight Center at DCU, he worked as a Software Engineer at the Insight Center for Data Analytics, National University of Ireland, Galway and Samsung Electronics, Bangladesh.
He has more than 5 years of experience in research and development with a strong background in algorithms and data structures concentrating on C, Java, Scala, and Python. He has lots of experience in enterprise application development and big data analytics.
He obtained a BSc in Computer Science and Engineering from the Chittagong University of Engineering and Technology, Bangladesh. Now, he has started his postgraduate research in Distributed and Parallel Computing at the Dublin City University, Ireland.
His research interests include Distributed Computing, Semantic Web, Linked Data, big data, Internet of Everything, and machine learning. Moreover, he was involved in a research project in collaboration with CISCO Systems Inc. in the area of Internet of Everything and Semantic Web Technologies. His duties were to develop an IoT-enabled meeting management system, a scalable system for stream processing, designing, and showcasing the use cases of a project.
This book could not have been written without the support of my family and friends. In particular, my beloved wife Irin Akhtar deserves many thanks for her patience and encouragement throughout the past year.
I would like to give special thanks to Md. Rezaul Karim for co-authoring this book and without his contributions, the writing would have been impossible. I would also like thank Packt Publishing and the group members who provides us a lot of support with the writing of this book, which helped to complete the book in time.