Researcher behind word2vec, which made embeddings mainstream
A researcher whose word2vec work in 2013 showed that words could be turned into lists of numbers capturing meaning — the embeddings that search and recommendation systems still run on.
Nothing of theirs is filed in the hub yet. Browse the full library.
Hand-picked from the hub based on what Tomáš Mikolov covers.
Harvard course covering graph search algorithms, optimization, machine learning, and natural language processing with hands-on Python projects.
Why this: Also about NLP
Deep dive into transformer architectures, tokenization, datasets, NLP pipelines, and fine-tuning and deploying open-source models.
