Natural Language Processing With Transformers - Lewis Tunstall

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size

17.78 x 2.54 x 23.5 cm

Product Information

Brand Name

Books Kingdom

Ideal For

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Material

Hardcover

Country Of Origin

India

Pack Of

About Author

Lewis Tunstall Is A Data Scientist At Swisscom, Focused On Building Machine Learning Powered Applications In The Domains Of Natural Language Processing And Time Series. A Former Theoretical Physicist, He Has Over 10 Years Experience Translating Complex Subject Matter To Lay Audiences And Has Taught Machine Learning To University Students At Both The Graduate And Undergraduate Levels.

Author Name

Lewis Tunstall

Genre

Computer Science

No Of Pages

406

Publisher

Springer Nature

Product Description

Premium Quality: Natural Language Processing with Transformers is a hardcover edition of 406 pages authored by Lewis Tunstall, a data scientist with over ten years of experience translating complex machine learning concepts for diverse audiences.

Product Design: Since their introduction in 2017, transformers have quickly become the dominant architecture for achieving state-of-the-art results on a variety of natural language processing tasks, and this book provides a comprehensive, practical guide to mastering them.

User Experience: Written for data scientists and coders, this practical book - now revised in full colour - shows readers how to train and scale large transformer models using Hugging Face Transformers, a Python-based deep learning library.

Versatile Occasion: Suitable for university students, working professionals, and competitive exam aspirants in the field of computer science and artificial intelligence who seek hands-on, applied knowledge.

Quality Assurance: Authored by a former theoretical physicist turned machine learning practitioner, the content bridges rigorous technical depth with accessible instruction, making it a reliable reference for both beginners and experienced practitioners.

Lifestyle Essential: An indispensable resource for anyone looking to build machine learning-powered NLP applications, this title belongs on the shelf of every serious data science professional or student.

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