Explores challenges in isolating intact cells, differential expression between nuclear and whole cell transcriptomes, and identifying transcriptomic cell types.
Covers the fundamental concepts of machine learning, including classification, algorithms, optimization, supervised learning, reinforcement learning, and various tasks like image recognition and text generation.
