AI and Machine Learning

Track 12: Machine Learning & Intelligent Algorithms

Machine Learning enables computer systems to learn from data, recognize patterns, make predictions, and improve performance without being explicitly programmed. This track covers advanced learning algorithms, predictive modeling, classification, clustering, and pattern recognition techniques. It explores supervised, unsupervised, semi-supervised, self-supervised, and reinforcement learning approaches. Discussions will focus on feature engineering, model training, optimization, evaluation, generalization, and efficient deployment. The track provides a platform for presenting innovative machine learning methodologies and their applications to complex real-world challenges.

• Advanced Machine Learning Algorithms

• Supervised, Unsupervised & Reinforcement Learning

• Self-Supervised and Few-Shot Learning

• Model Optimization and Predictive Analytics