Natural Language Processing Fundamentals for Developers by Oswald Campesato
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Overview: This book is for developers who are looking for an overview of basic concepts in Natural Language Processing. It casts a wide net of techniques to help developers who have a range of technical backgrounds. Numerous code samples and listings are included to support myriad topics. The first chapter shows you various details of managing data that are relevant for NLP. The next pair of chapters contain NLP concepts, followed by another pair of chapters with Python code samples to illustrate those NLP concepts. Chapter 6 explores applications, e.g., sentiment analysis, recommender systems, COVID-19 analysis, spam detection, and a short discussion regarding chatbots. The final chapter presents the Transformer architecture, BERT-based models, and the GPT family of models, all of which were developed during the past three years and considered SOTA (“state of the art”). The appendices contain introductory material (including Python code samples) on regular expressions and probability/statistical concepts. Companion files with source code and figures are included.
Genre: Non-Fiction > Tech & Devices
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Natural_Language_Processing_Fundamentals_for_Developers_-_Oswald_Campesato.pdf
Natural_Language_Processing_Fundamentals_for_Developers_-_Oswald_Campesato.pdf
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Requirements: .PDF reader, 6 mb
Overview: This book is for developers who are looking for an overview of basic concepts in Natural Language Processing. It casts a wide net of techniques to help developers who have a range of technical backgrounds. Numerous code samples and listings are included to support myriad topics. The first chapter shows you various details of managing data that are relevant for NLP. The next pair of chapters contain NLP concepts, followed by another pair of chapters with Python code samples to illustrate those NLP concepts. Chapter 6 explores applications, e.g., sentiment analysis, recommender systems, COVID-19 analysis, spam detection, and a short discussion regarding chatbots. The final chapter presents the Transformer architecture, BERT-based models, and the GPT family of models, all of which were developed during the past three years and considered SOTA (“state of the art”). The appendices contain introductory material (including Python code samples) on regular expressions and probability/statistical concepts. Companion files with source code and figures are included.
Genre: Non-Fiction > Tech & Devices
Download Instructions:
Natural_Language_Processing_Fundamentals_for_Developers_-_Oswald_Campesato.pdf
Natural_Language_Processing_Fundamentals_for_Developers_-_Oswald_Campesato.pdf
Trouble downloading? Read This.
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