Faculty Development Training Programme on: 'From Math to Models: Building Machine Learning Systems through
Theory and Statistical Insight'
The Department of Computer Science, Loreto College, in collaboration with the Department of Mathematics, the Department of Statistics, and the Internal Quality Assurance Cell, organised an online Faculty Development Training Programme on 13th December, 2025 from 7:00 PM to 8:30 PM. The session was conducted through Google Meet platform.
The theme of the programme was 'From Math to Models: Building Machine Learning Systems through Theory and Statistical Insight'. The resource person for the session was Mr. Kritanta Saha, Assistant Professor, Department of Computer Science and Engineering, Sister Nivedita University, Kolkata.
The session aimed to strengthen conceptual understanding of machine learning by highlighting the importance of mathematical and statistical foundations. Mr. Saha began by explaining the basic idea of machine learning and learning models in a clear and structured manner. He gradually moved to core concepts such as linear regression, hypothesis formulation, error calculation, and mean squared error.
Special emphasis was given to linear regression with one variable, where the speaker explained the role of parameters, cost functions, and optimisation techniques. The concept of gradient descent was discussed in detail with the help of diagrams and visual illustrations, making the topic easy to understand even for participants from non-technical backgrounds. The step-by-step explanation helped connect theoretical ideas with practical machine learning models.
The session was interactive and engaging. Participants actively followed the presentation and appreciated the clarity with which complex ideas were explained. The online format allowed smooth interaction and effective screen sharing throughout the session.
Overall, the Faculty Development Programme was informative and enriching. It successfully met its objective of bridging mathematical theory with real-world machine learning applications. The programme was well received by the participants and contributed meaningfully to faculty upskilling in the area of Machine Learning.
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