MACHINE LEARNING: A COMPREHENSIVE OVERVIEW OF ALGORITHMS AND TECHNIQUES

Dr. T AASIF AHMED · Sandeep Kumar Davuluri · Professor Abhishek Agarwal · Dr. Ashok Kumar

May 2023 · Xoffencerpublication

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259

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About this ebook

The quantity of data that we have access to is mind-boggling. It would seem that the volume of information in the world, as well as in our own lives, is only going to continue to increase, and there does not appear to be any end in sight for this trend. The ever-present nature of personal computers has made it an absurdly easy process to store things that, in the past, we would have thrown away. This has resulted in a significant reduction in the amount of waste that we produce. It is all too easy for us to put off making decisions on what to do with all of this information since affordable multigigabyte drives are widely accessible. Instead of making these decisions, we just buy another disk and keep everything. Electronics are present in almost every location, and these devices are always monitoring and documenting our actions. For example, they keep track of the items we buy at the grocery store, our typical purchasing habits, and even when we enter and exit a building. When we swipe our way across the planet, a record is added to a database for every consecutive swipe that we make. The World Wide Web not only overwhelms us with information but also keeps a record of every choice that each of us makes. Aside from the fact that all of them are only personal choices, their commercial and industrial analogues may be found in a variety of guises all over the world. Everyone in this room can agree to the reality that there is a growing understanding gap between the data that is being produced and what we are able to do with that data. The amount of data that people are able to grasp is falling at an alarming rate, and this decline is proportional to the relentless growth in the amount of data. There is information, knowledge that may be really vital, that is latent among all of this data, but it is seldom made explicit or used in any way. The process of recognizing patterns in data is explored in depth throughout the pages of this book. This is not something that simply happened a short while ago. People have been searching for patterns in various types of data ever since the dawn of human history. People who hunt animals search for patterns in the migration patterns of the creatures they are hunting, farmers look for patterns in how their crops grow, politicians look for patterns in how people feel, and lovers look for patterns in how their partners respond

About the author

Dr. T AASIF AHMED is currently Faculty of Economics at Mazharul Uloom (Govt. Aided) College affiliated to Thiruvalluvar University, Tamil Nadu. He obtained his PhD from the Bharathidasan University, Tiruchirappalli, Tamil Nadu. He has published in both indian & international journals and contributed to various edited volumes. He also acted as referee for a number of reputed journals. He has three patents, published by the Indian office of the Controller General of Patents, Design and Trade Marks. His research is in the areas of Computational Economics, Industrial and Environmental Economics.

Sandeep Kumar Davuluri holds a Master of Science degree in Information Technology from Wilmington University in Delaware USA and is pursuing Ph.D. in Information Technology from University of the Cumberlands in Kentucky USA. Apart from being a PhD research student at University of the Cumberlands and also working as Solution Architect at AT&T Chicago. Prior to this worked as Network Engineer at AT&T Chicago. He is a Cisco certified Associate and Professional. He has a background in Computer Science and Information Technology with focus on computer networks, Wireless networks,Cloud, Machine learning, Deep learning, Data Mining, Blockchain, Internet of Things and Artificial Intelligence. He is a journal reviewer and has published research papers in both national and international journals, and is a member of the Institute of Electrical and Electronics Engineers (IEEE).

Professor Abhishek Agarwal (working at Vermont State University, USA) is an experienced chartered engineer and higher education professional embedded with an interdisciplinary background to induct modern technologies in engineering Technology. He obtained B. Tech., M. Tech., PhD degrees in Mechanical Engineering and M.B.A. in Marketing Management. As a published researcher, he has authored or co-authored four books, eight Patents and over 80 publications in peer-reviewed journals and at international conferences.

Dr. Ashok Kumar working as an Assistant Professor in the Department of Computer Science, Banasthali Vidyapith, Banasthali-304022 (Rajasthan), has about 14 years of teaching experience. He received his M.C.A. degree from GJU University, M.Phil. degree in Computer Science from CDLU University and Ph.D. degree in Computer Science from Banasthali Vidyapith. He has more than 25 research papers in refereed international journals, conferences and three patents in his credit. His areas of research include Image Processing, Machine Learning and Big Data Analytics

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