Department of Applied Machine Learning
Department of Applied Machine Learning
Department of Applied Machine Learning (AML), Institute of Artificial Intelligence and Machine Learning (AI&ML), Saveetha School of Engineering, The Department of Applied Machine Learning is committed to providing the platform to meet the needs of industry4.0 requirements. The goal of the department is to promote research and education in the areas of artificial intelligence and machine learning. Students will learn how to apply powerful machine learning techniques to new problems, run evaluations, and interpret results using platforms like Scikit, Knime, Tensor Flow, R-Tools, Pytorch, and Azure Machine Learning Studio. Faculties and students are actively engaged in developing and researching novel methods in different directions, such as deep learning, supervised and unsupervised learning, multimodality, and hybrid models. Faculties and students are particularly interested in exploring new applications in the sciences or industry. The faculties are also successfully involved in diverse research projects and have published many papers in reputed Scopus indexed and SCI journals.Read More
Vision
“To be, and to be recognized for setting the standards of excellence in engineering education and high-quality scientific research.”
Mission
To promote academic excellence, widen intellectual horizons; inculcate self-discipline and high ideals for the total personality development of individual.
To convert a novice into a competent professional with excellent theoretical knowledge and unsurpassed practical skills.
To motivate the interest in the research activities, further education and social services.