Machine learning is a subfield of artificial intelligence (AI) that focuses on the development of algorithms and models that allow computer systems to learn and make predictions or decisions from data.
This Machine Learning course offers a comprehensive introduction to the principles, algorithms, and practical applications of machine learning. Participants will gain a solid foundation in supervised and unsupervised learning, reinforcement learning, and deep learning. The course includes hands-on exercises and projects to reinforce learning and practical implementation.
Applying machine learning techniques to real-world datasets and problems.Advanced machine learning topics such as generative adversarial networks (GANs), transfer learning, and more, depending on course depth.