Fellowship Participant (Machine Learning) - Fuse Machine Fellowship
As a fellowship participant, you completed hands-on assignments and learning modules across core machine learning and AI topics. The experience emphasized building understanding in computer vision, NLP, language models, and modern deployment-oriented ML practices. You also covered experimentation structuring and reinforcement learning concepts for practical problem solving. • Worked on assignments covering image processing, detection, matching, and segmentation • Studied NLP, RNNs, transformers, and foundational and large language model concepts • Learned structuring and experimenting with ML and deploying ML using MLOps • Covered recommendation systems, time series forecasting, and reinforcement learning topics