[LIVE] Assembly Data Science - Transfer Learning: No Data? No Problem!

Transfer learning is a very useful and important approach used in practical machine learning - especially for image classification & natural language processing. It refers to storing knowledge gained while solving a problem and using that same knowledge to solve another different but related problem. A simple example would be utilizing an image data model trained to identify cars for the purpose of identifying trucks. Machine learning guru Andrew Ng cites transfer learning (or TL) as the next driver of ML