Nlp technical reference de patel rashmi (4 resultados)

Idioma: Inglés
Editorial: Independently published, 2026
- Tapa blanda
Librería: PBShop.store UK, Fairford, GLOS, Reino UnidoPBShop.store UK
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 23,31
Envío por EUR 4,85Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

Idioma: Inglés
Editorial: Independently Published Jul 2026, 2026
- Tapa blanda
Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 45,08
Envío por EUR 30,50Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 2 disponibles
Taschenbuch. Condición: Neu. Neuware - Natural Language Processing: Complete Technical Reference is a comprehensive, production-focused guide designed for AI engineers, machine learning practitioners, software developers, data scientists, and students who want to master modern NLP from first principles to real-world deployment.Rather than focusing on isolated concepts, this book presents the complete NLP ecosystem-from classical text preprocessing and statistical techniques to Transformers, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), parameter-efficient fine-tuning, multimodal AI, multilingual models, and production-grade NLP systems.Every chapter combines intuitive explanations with technical depth, practical Python examples, production insights, common implementation mistakes, interview-focused questions, and real-world engineering best practices.Inside this book you'll learn: Natural Language Processing fundamentalsText preprocessing, tokenization, POS tagging, NER, and parsingTF-IDF, Word2Vec, GloVe, FastText, and Sentence-BERTRNNs, LSTMs, GRUs, Seq2Seq, Attention, and TransformersBERT, GPT, T5, and modern Large Language ModelsRetrieval-Augmented Generation (RAG) architectureLoRA, QLoRA, PEFT, DPO, and LLM fine-tuningPrompt Engineering and AI AgentsProduction deployment, optimization, monitoring, and evaluationMultimodal NLP and multilingual language modelsNLP interview questions with detailed explanationsA complete end-to-end NLP project200+ NLP and LLM glossary terms for quick referenceWhether you're preparing for technical interviews, building enterprise AI applications, or transitioning into AI engineering, this reference provides the knowledge needed to design, implement, deploy, and maintain modern Natural Language Processing systems.If you're looking for a practical NLP handbook that bridges theory, implementation, and production engineering, this book belongs on your bookshelf.…

Idioma: Inglés
Editorial: Independently published, 2026
- Tapa blanda
- Impresión bajo demanda
Librería: California Books, Miami, FL, Estados Unidos de AmericaCalifornia Books
Contactar con el vendedorVendedor de 4 estrellasCondición: Nuevo
EUR 23,35
Gastos de envío gratisSe envía dentro de Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
Condición: New. Print on Demand.

Idioma: Inglés
Editorial: Independently Published, 2026
- Tapa blanda
- Impresión bajo demanda
Librería: CitiRetail, Stevenage, Reino UnidoCitiRetail
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 27,02
Envío por EUR 43,17Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Paperback. Condición: new. Paperback. Natural Language Processing: Complete Technical Reference is a comprehensive, production-focused guide designed for AI engineers, machine learning practitioners, software developers, data scientists, and students who want to master modern NLP from first principles to real-world deployment.Rather than focusing on isolated concepts, this book presents the complete NLP ecosystem-from classical text preprocessing and statistical techniques to Transformers, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), parameter-efficient fine-tuning, multimodal AI, multilingual models, and production-grade NLP systems.Every chapter combines intuitive explanations with technical depth, practical Python examples, production insights, common implementation mistakes, interview-focused questions, and real-world engineering best practices.Inside this book you'll learn: Natural Language Processing fundamentalsText preprocessing, tokenization, POS tagging, NER, and parsingTF-IDF, Word2Vec, GloVe, FastText, and Sentence-BERTRNNs, LSTMs, GRUs, Seq2Seq, Attention, and TransformersBERT, GPT, T5, and modern Large Language ModelsRetrieval-Augmented Generation (RAG) architectureLoRA, QLoRA, PEFT, DPO, and LLM fine-tuningPrompt Engineering and AI AgentsProduction deployment, optimization, monitoring, and evaluationMultimodal NLP and multilingual language modelsNLP interview questions with detailed explanationsA complete end-to-end NLP project200+ NLP and LLM glossary terms for quick referenceWhether you're preparing for technical interviews, building enterprise AI applications, or transitioning into AI engineering, this reference provides the knowledge needed to design, implement, deploy, and maintain modern Natural Language Processing systems.If you're looking for a practical NLP handbook that bridges theory, implementation, and production engineering, this book belongs on your bookshelf. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…