AUSTIN2526/learn-NLP-in-30-days-book-version
本書內容改編自第15屆iThome鐵人賽AI & Data組佳作系列文章《30天內成為NLP大師：掌握關鍵工具和技巧》。本書從基礎理論到實務應用，詳細介紹了自然語言處理的發展過程及相關技術，且循序漸進解釋了AI中的數學原理，如線性代數、矩陣相乘及機率，並將這些理論應用於深度學習模型中。
This book helps aspiring AI engineers and data scientists understand and apply Natural Language Processing (NLP) techniques. It explains how computers process text and introduces mathematical principles behind AI, leading into deep learning models. You'll learn to build, train, and optimize NLP models using modern architectures like Transformer, BERT, and GPT, with practical examples and code.
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Use this if you are an aspiring AI engineer or data scientist looking to master Natural Language Processing from foundational theory to practical application, including building and optimizing large language models.
Not ideal if you are a business user looking for a no-code solution or a non-technical person interested only in the high-level concepts of AI.
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