Diving Deep into Computer Vision, Transformers, and NLP

Build an image-classifier system that makes human-like decisions. Most computer vision-related tutorials jump right to implementation after a few cursory introductory notes. What sets Raveena Jayadev's post apart is that we do get a thorough, hands-on guide to building a machine learning system that recognizes digits, but not before we first understand how that system's "mental model" operates. Get a solid foundation in online (machine) learning. A popular deep learning topic, online learning has numerous industry applications in scenarios where models "must learn from new data that is constantly becoming available," as Cameron Wolfe explains in his essential (and comprehensive) introduction to the topic.