Cours d'intro à NLP(Natural language processing)

Une formation de 15 cours de 1h30 en FR/EN/CH, anglais c'est mieux. Pour les entrepreneurs et les étudiants qui venlent avoir une base solide de IA.
📘 Overview

Week 1 — Introduction: Definition of NLP, a spectrum of NLP problems, NLP from a machine learning perspective
Week 2 — Data and Model: Overview of NLP architecture, Review of background


📗 Linear Models (Week 3–7)

Week 3 — Language Models: N-gram Language Models, Naïve Bayes, Generative Text Classification
Week 4 — Features & Representation: Features, Document Representation, Discriminative Text Classification
Week 5 — Learning: Neuron, SGD
Week 6 — Word Representation: Entropy, Perplexity, Word Representation
Week 7 — Structured Prediction: HMM – Generative Structured Prediction, CRF – Discriminative Structured Prediction


🧠 Neural Models (Week 8–13)

Week 8 — Neural Basics: MLP, Multi-Layer Perception, Neural N-gram LM and Word Embedding
Week 9 — Sequence Models: Sequence Representation, Neural Text Classification
Week 10 — Neural Structured Prediction
Week 11 — Structured Representation
Week 12 — Recurrent Models: Sequence-to-sequence, Neural Recurrent Language Models
Week 13 — Pre-training: Sequence-level Pre-training, Pre-trained Models for Text Classification and other NLP tasks


🤖 Large Language Models (Week 14–15)

Week 14 — LLM Fundamentals: Scaling, instruction following and LLMs
Week 15 — LLMs & Beyond: LLMs for NLP, AGI and beyond