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Understanding the concepts of Natural Language Processing starts with understanding the fundamentals. On your way to mastery, it's crucial for you to understand how certain concepts were derived, and why things work like they do. Starting with these resources is the best way to do so.
SummaryNatural Language Processing in Action is your guide to creating machines that understand human language using the power of Python with its ecosystem of packages dedicated to NLP and AI.Purchase ...
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The Handbook of Natural Language Processing, Second Edition presents practical tools and techniques for implementing natural language processing in computer systems. Along with removing outdated material, this edition updates every chapter and expands the content to include emerging areas, such as sentiment analysis. ...
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Statistical approaches to processing natural language text have become dominant in recent years. This foundational text is the first comprehensive introduction to statistical natural language processing (NLP) to appear. The book contains all the theory and algorithms needed for building NLP tools. ...
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Neural networks are a family of powerful machine learning models and this book focuses on their application to natural language data. ...
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From a leading authority in artificial intelligence, this book delivers a synthesis of the major modern techniques and the most current research in natural language processing. The approach is unique in its coverage of semantic interpretation and discourse alongside the foundational material in syntactic processing.
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We've all tried to think our way out of bad habits and unhealthy thought patterns, only to find ourselves stuck with an out-of-control mind and off-track daily life. Pastor and New York Times best-selling author Craig Groeschel understands deeply this daily battle against self-doubt and negative thinking, and in this powerful new book, he reveals the strategies he's discovered to change your m…
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These books are not required for you to learn Natural Language Processing, but they are highly recommended for you to deepen your knowledge.
Big Data Analytics Methods unveils secrets to advanced analytics techniques ranging from machine learning, random forest classifiers, predictive modeling, cluster analysis, natural language processing (NLP), Kalman filtering and ensemble of models for optimal accuracy of analysis and prediction. ...
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Are you struggling with anger, regrets, and resentment? Do you feel emotionally exhausted, stressed, and discouraged by painful memories? Are you holding on to things that are making you feel miserable?
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Publisher's Note: A new edition of this book is out now that includes working with GPT-3 and comparing the results with other models. ...
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For undergraduate or advanced undergraduate courses in Classical Natural Language Processing, Statistical Natural Language Processing, Speech Recognition, Computational Linguistics, and Human Language Processing. ...
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Many books and courses tackle natural language processing (NLP) problems with toy use cases and well-defined datasets. But if you want to build, iterate, and scale NLP systems in a business setting and tailor them for particular industry verticals, this is your guide. ...
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Ruslan Mitkov's highly successful Oxford Handbook of Computational Linguistics has been substantially revised and expanded in this second edition. ...
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