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Foundational Course on AI and ML

Dr. Saranya Vasanthamani | Author Level 1

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.

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Introduction to Artificial Intelligence and Machine Learning

Dr. Saranya Vasanthamani | Author Level 1

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Mathematics for Machine Learning

Dr. Saranya Vasanthamani | Author Level 1

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Supervised Learning

Dr. Saranya Vasanthamani | Author Level 1

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Unsupervised Learning

Dr. Saranya Vasanthamani | Author Level 1

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Deep Learning

Dr. Saranya Vasanthamani | Author Level 1

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Reinforcement Learning

Dr. Saranya Vasanthamani | Author Level 1

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Natural Language Processing of Artificial Intelligence and Machine Learning

Dr. Saranya Vasanthamani | Author Level 1

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NOC Number: 21222 Information systems...
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Ethics and Bias of Artificial Intelligence and Machine Learning

Dr. Saranya Vasanthamani | Author Level 1

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Case Studies and Real-world Applications of Artificial Intelligence and Machine...

Dr. Saranya Vasanthamani | Author Level 1

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NOC Number: 21222 Information systems...
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Meet Your Instructor
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Dr. Saranya Vasanthamani

Ph.d

Instructor
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0 Students
Author Level 1
16 Courses
About Instructor

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.

 

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Price: $ 216
Total Course
Course Duration
9 Modules
76 Lectures
4 Quizzes
0 Exams
1 Assignments
0 Projects
NOC Courses
: 9
: 117 Hours 0 Minutes