MACHINE LEARNING FOR DATA SCIENCE - USING ML ALGORITHMS FOR PREDICTIVE MODELING

Dr. Rachit Adhvaryu · Dr. Kruti Sutaria · Ismail Keshta · Dr. Haewon Byeon

May 2024 · Xoffencerpublication

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205

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About this ebook

Machine learning is an area of artificial intelligence that focuses on teaching computers how to learn without being explicitly instructed to do so. This ability allows computers to acquire knowledge and competence via experience rather than being taught to do so. In recent years, as a consequence of the many different applications it has in a broad variety of fields, it has become an increasingly important topic of debate as a result of the multiple practical uses it has. Throughout the course of this blog, we will discuss how machine learning is being utilized to address difficulties in the real world, as well as study the principles of machine learning and go into more advanced topics. Whether you are a newbie interested in learning about machine learning or an experienced data scientist wishing to keep up to speed on the latest breakthroughs in the field, we hope that you will find something here that is of interest to you. If you are a novice interested in learning about machine learning, go here. Machine learning is an application of artificial intelligence that makes use of statistical methods to teach computers how to learn on their own and make judgements without being expressly programmed to do so. This is accomplished via the use of statistical methods. It is predicated on the notion that computers are able to learn from data, spot patterns, and make decisions with relatively little input from human beings

About the author

Dr. Rachit Adhvaryu is a multifaceted academician and mentor renowned for his prolific contributions to research and education. With an impressive portfolio of 23 research papers and 5 patents, Dr. Adhvaryu has significantly advanced knowledge in his field. Beyond research, he has demonstrated a strong commitment to knowledge dissemination through organizing over 30 workshops and training programs, providing invaluable learning opportunities to students and professionals alike. As a mentor, Dr. Adhvaryu's guidance and expertise have nurtured numerous aspiring scholars, shaping the next generation of researchers. His dedication to education extends to delivering expert sessions in about 10 training programs, sharing insights and best practices with participants. Dr. Adhvaryu's work underscores a deep passion for innovation and problem-solving, evident in both his research outputs and educational initiatives.

Dr. Kruti Sutaria is a distinguished academician and researcher with over 11 years of experience in the field. She holds a deep passion for advancing knowledge and has made significant contributions to her area of expertise. Dr. Sutaria's research is characterized by its rigor and innovation, addressing pressing issues in her field. She is known for her insightful analyses and methodological precision. As an educator, Dr. Sutaria inspires and mentors’ students, fostering a new generation of scholars. Her scholarly pursuits extend beyond the classroom, engaging in interdisciplinary collaborations and publications. Dr. Sutaria's dedication to academic excellence is evident in her commitment to continuous learning and professional development. Overall, she embodies the ideal of an accomplished academician and researcher, leaving a lasting impact on her field and beyond.

Ismail Keshta received his B.Sc. and the M.Sc. degrees in computer engineering and his Ph.D. in computer science and engineering from the King Fahd University of Petroleum and Minerals (KFUPM), Dhahran, Saudi Arabia, in 2009, 2011, and 2016, respectively. He was a lecturer in the Computer Engineering Department of KFUPM from 2012 to 2016. Prior to that, in 2011, he was a lecturer in Princess Nourahbint Abdulrahman University and Imam Muhammad ibn Saud Islamic University, Riyadh, Saudi Arabia. He is currently an assistant professor in the computer science and information systems department of Al Maarefa University, Riyadh, Saudi Arabia. His research interests include software process improvement, modeling, and intelligent systems.

Dr. Haewon Byeon received the Dr Sc degree in Biomedical Science from Ajou University School of Medicine. Haewon Byeon currently works at the Department of Medical Big Data, Inje University. His recent interests focus on health promotion, AI medicine, and biostatistics. He is currently a member of international committee for a Frontiers in Psychiatry, and an editorial board for World Journal of Psychiatry. Also, He were worked on 4 projects (Principal Investigator) from the Ministry of Education, the Korea Research Foundation, and the Ministry of Health and Welfare. Byeon has published more than 343 articles and 19 books.

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