INSIGHTS ON MACHINE LEARNING
AUTHORS -
GAGANDEEP KAUR
Genre/Subject – MACHINE LEARNING, ARTIFICIAL INTELLIGENCE
Book code – CCEDTB062332
ISBN – 978-93-94435-08-7
DOI – 10.55083/isbn.978-93-94435-08-7.ccedtb062332
Published – 30-06-2023
EDITORS -
HARSHITA JAIN, PRAVEEN KUMAR KAITHAL, MUKESH KUMAR DHARIWAL, AMIT KUMAR KUSHWAHA
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AUTHOR(S)
GAGANDEEP KAUR
Mrs. Gagandeep Kaur is working as an assistant professor in the Department of Computer Applications at Ramgarhia Institute of Engineering and Technology, Phagwara. She has 14 years of teaching experience and 2 years of industrial experience. She has a strong academic background, pursuing her PhD from GNA University Phagwara, holding a Master of Computer Applications (Honours) from Apeejay Institute of Management (Technical Campus). She completed her Bachelor of Computer Applications from theApeejay Institute of Management and Technology Jalandhar and Diploma in French Language from Alliance Francaise Chandigarh.
With a passion for research, Gagandeep Kaur has published numerous research papers in prestigious national and international journals. She has also presented research papers in various national and international seminars and conferences and has been an observer, examiner, and evaluator for university examinations on several occasions. Her areas of expertise are Machine Learning, Data Communication and Networks, Embedded Systems, Microprocessors, Assembly Language, Database Administration, Data Warehousing, Software Engineering, System Programming, Neural Networks, Soft Computing, Artificial Intelligence, Metaheuristic Algorithms, System Analysis and Design, Linux OS, Object Orientated Analysis and Design and Information Security.
Gagandeep Kaur’s achievements have been widely lauded throughout her career. Her passion for and dedication to computer science and engineering continue to be the driving forces in her career development.
ABOUT BOOK / ABSTRACT
As opposed to exclusively depending on explicit programming, an area of artificial intelligence called machine learning allows computers to get better at what they do by gaining experience. Due to its numerous practical uses across numerous sectors, it has experienced a major increase in popularity in recent years. This chapter seeks to introduce the principles of machine learning, delve into more complex ideas, and look at how it might solve problems in the real world. We strive to provide insightful information for everyone, whether you are a beginner trying to grasp the fundamentals or an expert data scientist trying to keep up with the most recent developments.
What does machine learning mean?
Computers can learn and form opinions without explicit programming thanks to machine learning, a statistically-based application of artificial intelligence. It is a branch of AI that focuses on teaching computers to behave and make decisions as people do by enabling them to learn and develop their own programs with little to no human input. Machine learning entails giving input data and related outputs to the machine during the learning phase, as opposed to traditional programming, which requires feeding a machine well-written and verified code together with input data to create output. This procedure allows the machine to learn from the data, see trends, and create its own program. The type of data being utilized and the particular task that has to be automated determine which algorithms are employed in machine learning. Enabling computers to make judgements and complete tasks without explicit programming, machine learning automates the learning process by training them on high-quality data using a variety of techniques.
EDITORS
HARSHITA JAIN
Harshita Jain is an accomplished Assistant Professor in the Department of Computer Science Engineering, with extensive research experience and notable achievements in her field. She has a strong academic background, persuing her phd from UIT RGPV, holding a Master of Technology (MTech) degree in Computer Science and Engineering from Madhav Institute of Science and Technology. She completed her Bachelor of Engineering (BE) in Information Technology from the University Institute of Technology – RGPV.
Harshita has a diverse range of experience in the field of education and research. She served as an Assistant Professor at Laxmi Narain College of Technology (LNCT) and Maulana Azad National Institute of Technology (MANIT) in Bhopal. Additionally, she worked as a Project Manager at YAY, an Edtech company with Girlscript. Currently, she is associated with Sagar Institute of Research & Technology (SIRT) as an Assistant Professor in the Department of Computer Science Engineering.
With a passion for research, Harshita has published numerous research papers in prestigious national and international journals. Her research interests include pattern warehousing, nature-inspired algorithms, therapeutic models, data mining, IoT, and more. She has also contributed as a chapter author in technical books and served as a reviewer for esteemed journals. Furthermore, she has been recognized as an editorial board member for several journals and has delivered expert lectures on machine learning, IoT, and related topics. She has also authored 1 book, hold 3 copyrights and 1 Indian Patent based on IOT.
Harshita’s academic achievements are complemented by her active participation in professional organizations. She is a lifetime member of the International Association of Engineers (IAENG) and Research Foundation of India (RFI). She also holds the position of MP STATE SDG Ambassador for UNaccc and has been recognized as a GDC FieldOps Cadet by the United Nations. She has been listed by Fox story India under ” 50 Powerful women of INDIA” 2022, She has also been the recipient of many awards like Young scientist award, Dynamic professor of the year and many more.
Throughout her career, Harshita Jain has been acknowledged for her outstanding contributions. Her commitment to excellence and dedication to her field continue to drive her professional growth and contribute to the advancement of computer science and engineering.
PRAVEEN KUMAR KAITHAL
Prof. Praveen Kumar Kaithal is working as an Assistant Professor in the Department of Computer Science and Engineering at University Institute of Technology, RGPV Bhopal. He has outstanding career all throughout. He completed his B.E. in Information Technology Engineering from SGSITS Indore M.P. and MTech. in Computer Science & Engineering from LNCT Bhopal M.P. affiliated from Rajiv Gandhi Proudyogiki Vishwavidyalaya, Bhopal. Praveen Kumar Kaithal held various academic positions in different Institutes therefore, having more than 8 years of experience in Undergraduate/Post Graduate teaching and research. His specializations lie in Machine learning, loT and Cyber law & Security. He has 4patents includes Indian and International in his credits. He has multiple research articles in national and international journals. As a resource person he delivers expert lectures in various colleges.
MUKESH KUMAR DHARIWAL
Mr. Mukesh Kumar Dhariwal is prominent name in field of education who has been mentoring students for the past ten years. Presently working as an Assistant Professor in the Department of Computer Science & Engineering, University Institute of Technology, Rajiv Gandhi Proudyogiki Vishwavidyalaya, Bhopal, India. He has completed B.E. in Information Technology from Madhav Institute of Technology & Science, Gwalior and his M. Tech. in Information Technology from School of Information Technology, R.G.P.V., Bhopal. To his credit he has one patent and many research paper in International Journals repute. In his research, he focuses on Ad Hoc Network, Internet of Things and Machine Learning.
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