IST - Applications of Linear Algebra in Machine Learning and Data Science (2026)

Venue: Mepco Schlenk Engineering College, Sivakasi

Dates: 18 May 2026 to 30 May 2026

Convener(s)
Name: Neeldhara Misra M. Rajesh Kannan  R. Ratha Jeyalakshmi  R.Gurusamy
Mailing Address: Smt. Amba and Sri. V S Sastry Chair Associate Professor,
Computer Science and Engineering, Indian Institute of Technology, Gandhinagar.		 Associate professor,
Department of Mathematics,
Indian Institute of Technology Hyderabad.		 Professor and Head,
Mepco Schlenk Engineering College, Sivakasi		 Associate Professor, Mepco Schlenk Engineering College, Sivakasi
Email: neeldhara.m at iitgn.ac.in rajeshkannan at math.iith.ac.in rratha at mepcoeng.ac.in rratha at mepcoeng.ac.in

Linear algebra is a fundamental mathematical tool with vast applications in various fields, including machine learning and data science. This Instructional School for Teachers (IST) aims to provide col- lege and university mathematics teachers with a comprehensive understanding of these applications. The program will cover both theoretical underpinnings and practical implementations, equipping teachers to effectively incorporate these topics into their curricula and research.
Objectives:

  • To enhance the participants’ understanding of the core concepts of linear algebra in the context of how they are applied in machine learning and data science.

  • To expose participants to the applications of linear algebra in machine learning and data science.

  • To provide hands-on experience with relevant software and tools (e.g., Python libraries: NumPy, SciPy, Scikit-learn, TensorFlow/PyTorch).

  • To equip participants with the ability to teach these applications to undergraduate and post- graduate students.