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Machine Learning on Web Applications

Author Name: S. Jayachitra, Pavithra G, Manjeet Kaur, Sulaima Lebbe Abdul Haleem | Format: Paperback | Genre : Reference & Study Guides | Other Details

As a type of artificial intelligence (AI), machine learning uses algorithms to make computers learn without being explicitly programmed. It is a method of data analysis that automates analytical model building. The automated analytical model building makes computers find hidden insight. Likewise, it makes computer programmers change when exposed to new data. At present, machine learning is one of the hottest trends in software development. Many analysts even believe that machine learning will completely transform the development process of various software including web applications.

Machine learning will change the way websites and web applications are developed. The programmers will embed machine learning algorithm and APIs in the web applications to make them deliver personalized and rich user experience. Also, they can combine multiple machines learning APIs to make the customer buying experience fast and smooth. However, the impact of machine learning will vary from one web application to another. Also, the web developers have to combine various machine learning algorithms according to their precise needs.

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S. Jayachitra, Pavithra G, Manjeet Kaur, Sulaima Lebbe Abdul Haleem

Ms. S. Jayachitra received the B.E. degree in Electronics and Communication Engineering from Anna University, Chennai and M.E Degree in Communication System from Anna University, Chennai. She is currently working as an Assistant Professor at Karpagam Academy of Higher Education, Coimbatore, India. She has published more than 15 research articles in various National, International journals (Scopus indexed, web of science, UGC, impact factors) and Conferences in India & abroad. She has also published 3 text-books along with 4 Indian & Foreign patents (both filed, published & granted). She has got 6 years of teaching experience and her research interests include Biomedical Image Processing, Machine Learning, Deep Learning Optimization, and Wireless Sensor Networks.

Dr. Pavithra G. was born in Bangalore, Karnataka, India & received the B.E. Degree (Bachelor of Engg.) in Electronics & Communication Engineering stream (ECE) from VTU, Belgaum, M.Tech. Degree in ECE branch with specialization in RF Communications from the Jain University in First Rank (FCD) & gold medal and obtained her doctorate - Ph.D. in Engineering from the prestigious Visvesvaraya Technological University (VTU Belgaum) respectively. She has got a teaching (academic), research experience of more than 15+ years in various engineering colleges in the Karnataka state. 

Ms Manjeet Kaur received her B.Tech (CSE) degree from Deen Bandhu Chhotu Ram University of Science and Technology (DCRUST) Murthal, India and M.Tech (IT) degree from Centre for Development of Advanced Computing(C-DAC)a Research foundation in Noida,India.She is presently working as an Assistant Professor (Computer Science) in Government PG College Panchkula, India. She has published research papers in various journal of national and international repute. Her area of interest are machine learning, big data, digital image processing and neural networks.

Mr. Sulaima Lebbe Abdul Haleem received a Master's degree in Information Technology from “Sri Lanka Institute of Information Technology”, Sri Lanka, 2016. He received a B.Sc. Hons degree in Computer Science from the “South Eastern University of Sri Lanka” (SEUSL), in 2010. He is currently a “Senior Lecturer in Information & Communication Technology” at the Faculty of Technology, South Eastern University of Sri Lanka He has more than 13 years of experience in the field of university teaching, research & academic administration at various levels. 

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