NLP Demystified 15: Transformers From Scratch + Pre-training and Transfer Learning With BERT/GPT

NLP Demystified 14: Machine Translation With Sequence-to-Sequence and Attention

NLP Demystified 13: Recurrent Neural Networks and Language Models

NLP Demystified 12: Capturing Word Meaning with Embeddings

NLP Demystified 11: Essential Training Techniques for Neural Networks

NLP Demystified 10: Neural Networks From Scratch

NLP Demystified 9: Automatically Finding Topics in Documents with Latent Dirichlet Allocation

NLP Demystified 8: Text Classification With Naive Bayes (+ precision and recall)

NLP Demystified 7: Building Models (ML modelling overview, bias, variance, evaluation)

NLP Demystified 6: TF-IDF and Simple Document Search

NLP Demystified 5: Basic Bag-of-Words and Measuring Document Similarity

NLP Demystified 4: Advanced Preprocessing (part-of-speech tagging, entity tagging, parsing)

NLP Demystified 3: Basic Preprocessing (case-folding, stop words, stemming, lemmatization)

NLP Demystified 2: Text Tokenization

NLP Demystified 1: Introduction