Machine learning often requires large datasets, but what do you do when data is limited? Have you used any strategies like data augmentation or transfer learning to deal with this?
Machine learning often requires large datasets, but what do you do when data is limited? Have you used any strategies like data augmentation or transfer learning to deal with this?