Applied Machine Learning

This research project delves into various aspects of machine learning, including supervised and unsupervised learning techniques, neural networks, and deep learning architectures. The focus is on developing innovative algorithms that can improve predictive accuracy and efficiency in real-world applications such as image recognition, natural language processing, and autonomous systems.