Explores word embeddings, models like CBOW and Skipgram, Fasttext, Glove, subword embeddings, and their applications in document search and classification.
Covers the basics of Scanning Electron Microscopy, including electron-sample interactions, detectors, sample preparation, image formation, resolution, and contrasts in SEM images.
