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TABLE OF CONTENTS15 sections

Deep Learning and NLP

01Deep Learning and NLP 02Foundations Of Deep Learning And Nlp 03Mathematical And Computational Foundations 04Neural Networks And Learning Processes 05Language Data Acquisition And Preparation 06Text Representation And Language Features 07Classical Nlp And Baseline Models 08Sequence Models For Language 09Transformers And Pretrained Language Models 10Applied Nlp Systems 11Large Language Models And Generative Ai 12Model Evaluation Interpretation And Error Analysis 13Deployment Mlops And Production Monitoring 14Responsible Ai Ethics And Governance 15Business Integration And Emerging Directions

Chapter 4

Language Data Acquisition And Preparation

PREVIOUS SECTIONNeural Networks And Learning Processes UP NEXTText Representation And Language Features

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