A Short Term Training Programme on Python for Machine Learning and Deep Learning 2025

Machine learning plays a crucial role in addressing complex computer vision challenges. In turn, many machine learning techniques have been specifically developed to enhance computer vision applications. Deep learning, in particular, has transformed computer vision by enabling algorithms to automatically learn hierarchical representations from raw image data. Prominent architectures like Convolutional Neural Networks (CNNs) have set new benchmarks in accuracy for tasks such as object recognition, image segmentation, and object detection. Despite these advancements, challenges remain, including the need for vast amounts of labeled data and enhancing model interpretability. Active research continues to address these issues while exploring new applications for deep learning in computer vision.
This STTP aims to provide participants with a comprehensive introduction to machine learning and deep learning concepts from a mathematically grounded perspective. Participants will explore fundamental and advanced supervised learning algorithms, including linear regression, decision trees, k-nearest neighbors, Bayesian learning, and neural networks, along with an introduction to deep learning and unsupervised clustering algorithms. Additionally, the STTP will focus on practical applications of machine learning techniques to tackle various computer vision problems. This STTP also includes hands-on problem solving with programming in Python and some tutorial sessions. Eminent resource persons will be handling the sessions.

Course Contents
Machine Learning Fundamentals
Regression and Classification
Bayesian Learning & Instance based Learning
Perceptron & Neural Networks
Unsupervised Learning Techniques
Convolutional Neural Networks
Machine Learning and Deep learning Applications in Signal Processing & Medical Image Processing
LSTM for Image Captioning

15 April 2025

1. UG/PG Students, Full Time Research Scholars - Rs. 590
2. Faculty - Rs. 885
3. Industry Persons - Rs. 1770

*All the above fees include 18% GST

The College is situated at about 60 km from Madurai, the Temple City. Nearest railway station is Virudhunagar. The College is situated midway between Virudhunagar and Sivakasi road. It is about 15 km from Virudhunagar and 12 km from Sivakasi. Buses ply between Virudhunagar and Sivakasi via Mepco Schlenk Engineering College

Limited in-campus accommodation will be provided to the participants on request and payment basis (Rs.200/- per day)