Transformers using python natural de rao (5 resultados)
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Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de AmericaPBShop.store US
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PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.
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Librería: PBShop.store UK, Fairford, GLOS, Reino UnidoPBShop.store UK
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Transformers Using Python for Natural Language Processing: Fundamentals, Principles and Applications
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Librería: California Books, Miami, FL, Estados Unidos de AmericaCalifornia Books
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Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de AmericaGrand Eagle Retail
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EUR 39,26
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Paperback. Condición: new. Paperback. Natural language is one of the richest and most complex forms of data we create, and teaching machines to understand it has long been a central challenge in artificial intelligence. In recent years, transformer architectures have reshaped the landscape of Natural Language Processing (NLP), e…nabling breakthroughs in language understanding, generation, translation, and reasoning at an unprecedented scale. Transformers Using Python for Natural Language Processing: Fundamentals, Principles and Applications introduces readers to this transformative shift, grounding advanced concepts in clear explanations and practical intuition. The book begins with the essential ideas behind NLP and deep learning, then carefully builds toward the core mechanics of transformers, attention mechanisms, embeddings, and model architectures without assuming extensive prior expertise. Designed with both learning and application in mind, this book emphasizes hands-on experimentation using Python and widely adopted NLP libraries. Readers will explore how theoretical principles translate into working systems for real-world tasks such as text classification, sentiment analysis, summarization, and language generation. By blending mathematical insight, conceptual clarity, and practical code examples, this book aims to bridge the gap between foundational theory and modern NLP practice, empowering students, researchers, and practitioners to confidently design, fine-tune, and deploy transformer-based models in diverse applications. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Librería: CitiRetail, Stevenage, Reino UnidoCitiRetail
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EUR 38,56
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Paperback. Condición: new. Paperback. Natural language is one of the richest and most complex forms of data we create, and teaching machines to understand it has long been a central challenge in artificial intelligence. In recent years, transformer architectures have reshaped the landscape of Natural Language Processing (NLP), e…nabling breakthroughs in language understanding, generation, translation, and reasoning at an unprecedented scale. Transformers Using Python for Natural Language Processing: Fundamentals, Principles and Applications introduces readers to this transformative shift, grounding advanced concepts in clear explanations and practical intuition. The book begins with the essential ideas behind NLP and deep learning, then carefully builds toward the core mechanics of transformers, attention mechanisms, embeddings, and model architectures without assuming extensive prior expertise. Designed with both learning and application in mind, this book emphasizes hands-on experimentation using Python and widely adopted NLP libraries. Readers will explore how theoretical principles translate into working systems for real-world tasks such as text classification, sentiment analysis, summarization, and language generation. By blending mathematical insight, conceptual clarity, and practical code examples, this book aims to bridge the gap between foundational theory and modern NLP practice, empowering students, researchers, and practitioners to confidently design, fine-tune, and deploy transformer-based models in diverse applications. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
