Introduction to word embedding and Word2Vec: how words are mapped to vector spaces to capture semantic relationships.

Retrospective on a mask/age/gender image classification competition: model selection, augmentation, CutMix, and lessons learned.

Using the Albumentations library for image augmentation in PyTorch, with example pipelines for training and TTA.

Introduction to Bag-of-Words text representation with one-hot encoding and Naive Bayes classification.

Overview of NLP fundamentals including tokenization, NER, sentiment analysis, machine translation, and the impact of Transformer on the field.

Curated list of reinforcement learning study resources including lectures, books, and blog posts.