Mastering Transformers: Build state-of-the-art models from scratch with advanced natural language processing techniques, (Paperback)
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Mastering Transformers: Build state-of-the-art models from scratch with advanced natural language processing techniques, (Paperback)
Build state-of-the-art models from scratch with advanced natural language processing techniques
Mastering Transformers: Build state-of-the-art models from scratch with advanced natural language processing techniques, (Paperback)
Nº de artículo: 41652610

Mastering Transformers: Build state-of-the-art models from scratch with advanced natural language processing techniques, (Paperback)

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Nº de artículo: 41652610

MXN 1601

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Lo que destaca

Comprehensive Guide
Offers in-depth insights into building transformer models, catering to both beginners and advanced practitioners in natural language processing, ensuring a thorough understanding of complex concepts.
Hands-On Approach
Includes practical examples and exercises, empowering readers to apply techniques directly. This fosters real-world application and enhances learning for effective model development.
Cutting-Edge Techniques
Covers the latest advancements in NLP and transformers, equipping readers with current knowledge and skills to develop state-of-the-art models that stand out in the competitive landscape.

Detalles de producto

Build state-of-the-art models from scratch with advanced natural language processing techniques. Get the paperback edition from Ubuy México, a México.
  • Learn to build transformer-based NLP applications using Python Transformers library
  • Discover quick prototyping with up-to-date Python libraries to solve industrial problems
  • Explore advanced NLP problems such as named-entity recognition, information extraction, and language generation
  • Understand how to monitor your model's performance with BertViz, exBERT, and TensorBoard
  • Learn to train and fine-tune models for various NLU and NLG problems, including text classification and token classification
  • Suitable for deep learning researchers, NLP practitioners, and ML/NLP students with beginner-level machine learning knowledge
Book formatPaperback
Fiction/nonfictionNon-Fiction
GenreComputing & Internet
Publication dateSeptember, 2021
Pages374
SubgenreArtificial Intelligence
Series titleNo Series
Edition1
PublisherPackt Publishing
Original languagesEnglish
LanguageEnglish
Edu focusLanguages
Educational levelGeneral
Is collectibleN
Recording time0 min
Retail packagingSingle Piece
Assembled product dimensions (l x w x h)7.50 x 0.77 x 9.25 in (19.1 x 2 x 23.5 cm)
Assembled product weight1.41 lb (640 grams)
Bisac subject headingComputers

¿Quién debería comprarlo?

Suitable For
  • Data Scientists

    Perfect for data scientists looking to deepen their knowledge and skills in natural language processing using transformers.

  • AI Researchers

    Ideal for researchers aiming to build advanced models and contribute to the field of artificial intelligence.

  • Graduate Students

    Beneficial for graduate students specializing in machine learning or natural language processing to enhance their practical skills.

Not Suitable For
  • Beginners

    Not suitable for beginners lacking a foundational understanding of machine learning or programming.

DESCRIPCIÓN DEL PRODUCTO

About This Item

Are you ready to take your natural language processing skills to the next level? Look no further than Mastering Transformers, a comprehensive guide that will teach you how to build state-of-the-art models from scratch using advanced techniques. With the rise of artificial intelligence and machine learning, mastering Transformers has become essential for anyone working in the field of natural language processing. This book will not only introduce you to Transformers, but also give you the tools and knowledge you need to create advanced NLP models that are at the forefront of the industry. Whether you are a data scientist, a software engineer, or a researcher, this book is a must-have resource. It covers everything from the basics of Transformers to the most advanced NLP algorithms and machine learning models used today.

You will learn how to preprocess text data, train your own Transformer models, and fine-tune them for specific tasks. What sets this book apart is its hands-on approach. You will find step-by-step examples, code snippets, and practical exercises that will guide you through the process of building your own Transformers. By the end of the book, you will have a solid understanding of how Transformers work and the skills to apply them to your own NLP projects. Whether you are interested in sentiment analysis, language translation, or speech recognition, Mastering Transformers has got you covered.

This book is packed with real-world examples and case studies that demonstrate the power and versatility of Transformers in solving complex NLP problems. Don't miss out on the opportunity to become a master of Transformers. Order your copy of Mastering Transformers today and unlock the potential of advanced natural language processing techniques!.

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Preguntas y respuestas de los clientes

  • pregunta: Who is this book for?

    respuesta: Deep learning researchers, hands-on NLP practitioners, ML/NLP educators, and students
  • pregunta: What knowledge is required to benefit from this book?

    respuesta: Beginner-level machine learning and a good command of Python
  • pregunta: What are some key features of this book?

    respuesta: Exploring quick prototyping with Python libraries, solving advanced NLP problems, monitoring model performance, and deploying models

Savaş Yıldırım All Books Editorial Review

Mastering Transformers: Build state-of-the-art models from scratch with advanced natural language processing techniques is a comprehensive guide designed for individuals looking to delve deep into artificial intelligence and natural language processing. This non-fiction paperback, published by Packt Publishing, spans 374 pages and aims to equip readers with advanced techniques in computing and internet applications, making it an excellent resource for anyone interested in mastering AI models. As noted by readers, the clarity of the explanations and practical implementations provided throughout the book stand out, positioning it as a valuable tool for both beginners and seasoned practitioners in the field.

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Ventajas

  • Comprehensive guide for advanced NLP techniques
  • Clear explanations of complex topics
  • Suitable for beginners and experienced users
  • Practical implementations and examples
  • Well-organized and easy to navigate

Desventajas

  • May not cover every latest trend in AI

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MXN 1601

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Características y beneficios

  • Learn to build transformer-based NLP applications
  • Implement methodologies that will build the future of NLP
  • Solve advanced NLP problems like information extraction and language generation
  • Train and fine-tune models for various NLU and NLG problems
  • Optimize models for performance and interpretability
  • Deploy transformer models in a production environment

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