Machine Learning (July 2023)

This training course covers basic concepts and techniques of machine learning and gradually moves to advance techniques. It covers a wide range of techniques in supervised learning, unsupervised learning and deep learning including generative AI. It also covers practical aspects of machine learning such as data preparation, model selection, model evaluation, and model deployment. By the end of this training course, you will understand: ✓ Basic concepts of ML ✓ Apply ML techniques to solve real-world problems ✓ Learn techniques in computer vision ✓ Learn techniques in natural language processing ✓ Understand and work on generative AI ✓ Evaluate the performance of ML models ✓ Deploy ML models in production