PART 1 - WORDY MACHINES
Packets of thought (NLP overview)
Build your vocabulary (word tokenization)
Math with words (TF-IDF vectors)
Finding meaning in word counts (semantic analysis)
PART 2 - DEEPER LEARNING (NEURAL NETWORKS)
Baby steps with neural networks (perceptrons and backpropagation)
Reasoning with word vectors (Word2vec)
Getting words in order with convolutional neural networks (CNNs)
Loopy (recurrent) neural networks (RNNs)
Improving retention with long short-term memory networks
Sequence-to-sequence models and attention
PART 3 - GETTING REAL (REAL-WORLD NLP CHALLENGES)
Information extraction (named entity extraction and question answering)
Getting chatty (dialog engines)
Scaling up (optimization, parallelization, and batch processing)