Explores musical expectancy formation, modeling transitions in music, and computational challenges in representing musical structures, concluding with a study on Jazz harmony.
Explores deep learning for NLP, covering word embeddings, context representations, learning techniques, and challenges like vanishing gradients and ethical considerations.
Explores word embeddings, models like CBOW and Skipgram, Fasttext, Glove, subword embeddings, and their applications in document search and classification.
