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Recommended resources
Module 1
Core Machine Learning Concepts
Module 2
Neural Network Fundamentals
Module 3
Applied Deep Learning with PyTorch
Module 4
Text Representation: From Counts to Embeddings
Module 5
Modeling Sequences with RNNs and LSTMs
Module 6
The Transformer Architecture
Module 7
Pre-trained Language Models: BERT, GPT, and Beyond
Module 8
Fine-Tuning Transformers with Hugging Face
Module 9
Strategies for Low-Resource NLP
Module 10