This session will provide an overview of Machine Learning (ML), a subfield of Artificial Intelligence (AI) that focuses on developing algorithms capable of learning from and making predictions based on data. Attendees will learn about the fundamental types of ML, including supervised, unsupervised, and reinforcement learning, and explore common algorithms and their applications in real-world scenarios. The session will also cover essential concepts such as training, testing, overfitting, and model evaluation, giving participants a solid foundation for further exploration in this rapidly growing field.