This course is designed for the audiences who want to learn about Artificial Intelligence (AI) and Machine Learning (ML) as rapidly evolving fields that have transformed the world we live in. AI refers to the ability of machines to perform tasks that normally require human intelligence, such as reasoning, perception, and decision making. ML, on the other hand, is a subset of AI that focuses on the ability of machines to learn from data without being explicitly programmed. A foundational course in AI and ML typically covers the fundamental concepts, theories, and algorithms that underlie these fields. Students will learn about various types of machine learning, including supervised, unsupervised, and reinforcement learning. They will also study key topics such as neural networks, deep learning, natural language processing, and computer vision. In addition, the course may cover practical applications of AI and ML, such as image and speech recognition, autonomous vehicles, and recommender systems. Students will have the opportunity to work on hands-on projects to develop their skills in building and evaluating machine learning models. By the end of the course, students should have a solid understanding of the key concepts and techniques in AI and ML, as well as their applications and potential impact on society. They should also be able to apply their knowledge to solve real-world problems using machine learning techniques by Prof. Saranya .V at NSRIC Platform to understand this course content.
Dr. Saranya Vasanthamani | Author Level 1
Dr. Saranya Vasanthamani | Author Level 1
Dr. Saranya Vasanthamani | Author Level 1
Dr. Saranya Vasanthamani | Author Level 1
Dr. Saranya Vasanthamani | Author Level 1
Dr. Saranya Vasanthamani
Ph.d
Prof. Saranya is the Instructor
at NSRIC Inc. She is also the Associate Professor in Computer Science
Engineering (ENG) at Anna University Colleges. In addition to her current
affiliation with NSRIC, she holds freelance faculty positions in some other
universities. Prof. Saranya is the founder of Algorithmics Computing Centre in
India, She has mentored projects under the Smart India Hackathon for various ministries.
She has published journals in reputed articles such as Springer, and many
journals indexed by Elsevier. She has also published books in Amazon like
Octave by examples, Points to Ponder for Python, and so on. She has also
published book chapters about the updating of recent trends by IGI global
publishing. In 12 years professional career, Dr, Saranya has Served on academic
or administrative committees to deal with institutional policies along with preparing
and delivering lectures to undergraduate and graduate students on topics such
as programming languages, data structures, networking, software design, AI,
Blockchain technologies and so on.
Prof. Saranya earned a B.Tech
in Information Technology from Anna University, India in 2009, and an M.E in Software
Engineering from Anna University in 2011. Dr. Saranya was awarded PhD in Information
and Communication Engineering in 2019 and an MBA(Information Systems) degree in
2014 by Bharathiyar University, India.