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Artificial intelligence and machine learning are two trending technologies in the present world.
Artificial intelligence (AI) and machine learning are often used interchangeably, but machine learning is a subset of the broader category of AI.
Put in context, artificial intelligence refers to the general ability of computers to emulate human thought and perform tasks in real-world environments, while machine learning refers to the technologies and algorithms that enable systems to identify patterns, make decisions, and improve themselves through experience and data.
Artificial Intelligence and Machine Learning (AI&ML) is a new, emerging field that consists of a set of tools and techniques used to extract useful information from data. AI&ML is a fast-growing discipline and is full of rigorous practical analysis. The demand for AI and ML has industry-required skills and demand in the global market over the last few years. Artificial intelligence and machine learning are also in line with computer science. Machine learning is an established research discipline. However, recent advances have increased the impact on many areas of society, science, medicine, and everyday life. AI with ML is in demand in robotics applications, space technology, Industry 4.0, and many more. AI and ML deliver modern computational systems that demonstrate capabilities of perception, reasoning, learning, and action that are typical of human intelligence.
Computer programmers and software developers enable computers to analyze data and solve problems—essentially, they create artificial intelligence systems—by applying tools such as:
Machine learning, deep learning, neural networks, computer vision, and natural language processing.
Mission
To provide skill-based education to master the students in problem-solving and analytical skills to enhance their niche expertise in the field artificial intelligence and machine learning.
To explore opportunities for skill development in the application of artificial intelligence and machine learning among rural and underprivileged populations.
Transform professionals into technically competent through innovation and socially responsible.
To promote research-based projects and activities among the students in the emerging areas of artificial intelligence and machine learning.
To impart quality and value-based education and contribute towards the innovation of computing systems and data science to raise the satisfaction level of all stakeholders.
Program Educational Objectives
To formulate, analyze, and solve engineering problems with a strong foundation in mathematical, scientific, and engineering fundamentals and modern computing practices through advanced curriculum.
Analyze the requirements, realize the technical specification, and design the engineering solutions by applying artificial intelligence and data science theory and principles.
Demonstrate technical skills and competency in AI and machine learning, and promote collaborative learning and teamwork spirit through multidisciplinary projects and diverse professional activities.
Programme Specific Outcomes
Understand, analyze, and develop essential proficiency in the areas related to artificial intelligence and machine learning in terms of underlying statistical and computational principles, and apply the knowledge to solve practical problems.
Learn the basic concepts of Artificial Intelligence and Machine Learning and apply them to various areas, like Image Processing, Speech Recognition, Product Recommendations, medical diagnosis, etc.
Solutions to complex problems, using the latest hardware and software tools, along with analytical skills to arrive at cost-effective and appropriate solutions.
ANJALI BHASKARAN P
LECTURER
ASMABI
LECTURER
SWATHI S
LECTURER
SWATHY R
LECTURER
NITHIN KT
DEMONSTRATOR
REKHA K
DEMONSTRATOR
