Introduces semantic modelling through tabular data and RDF, covering relational databases, schema migration, future-proof schemata, SPARQL querying, and metaknowledge limitations.
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.
