Recent years have seen the rise of machine learning, the study of software that learns from experience. While machine learning is a new discipline, it has found many applications. We rely on some of these applications daily; in some cases, their successes have already rendered them mundane. Many other applications have only recently been conceived, and hint at machine learning's potential. In this book, we will examine several machine learning models and learning algorithms. We will discuss tasks that machine learning is commonly applied to, and learn to measure the performance of machine learning systems. We will work with a popular library for the Python programming language called scikit-learn, which has assembled excellent implementations of many machine learning models and algorithms under a simple yet versatile API.
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Ragesh, Rohit Goyal, Deepa
Mr. Ragesh T S is a Business Analytics Certified Professional from Greatlakes and an FDP (M) alumnus of IIM Ahmedabad. He holds a Diploma in Business Analytics from Harvard Business School Online. He is currently working as an Assistant Professor in the area of Business Analytics at Prin. L. N. Welingkar Institute of Management Development and Research, Bengaluru. His area of interest lies in Business statistics, Data analysis, and Machine learning. An ‘R software’, ‘Python’, and ‘Tableau’ trainer, trained many professionals over the years. He has over thirteen years of experience in corporate and academia. A short stint in corporate with Zuari Industries Ltd. Goa as Assistant Manager. Ragesh also undertakes consulting projects and has multiple publications under his name.
Mr. Rohit Goyal, Assistant Professor, Department of CSE & IT, Himgiri Zee University, Dehradun Uttarakhand. Pursuing Ph.D – CSE (Internet of Things), M.Tech-CSE, MCA, PGDIT (Symbiosis). Eighteen years of Teaching and Research experience, published more than fifteen Research papers in National and International journals along with five plus in scopus indexed or IEEE standards. Guided over forty five M.Tech-CSE thesis as well as Projects to IT students. Coordinated training programmes for the students and faculties of Distance Education programmes for study centres of HZU. External expert for UTU. Presently Coordinator for M.Tech CSE, MCA programme. Area of Interest are “IoT and its applications, Databases, Networking, Data security and Privacy control”. Member of Review committee for IEEE papers of “INDIACom” and “IJEDR” journal (UGC approved). Also Member of Editorial Board of “IJRFE” Journal and “BTSSS” organization.
Ms. D. Deepa is currently working as a Assistant professor (SRG) in Department of Computer Science and Engineering, Kongu Engineering College, Tamilnadu, India and also she is a Ph.D. candidate in information and communication engineering under Anna University Chennai. She completed her master degree in Computer Science and Engineering at Kongu Engineering College, Anna University, in 2011. Her major research interests are Natural Language Processing and Deep Learning Models.
