Nlp Technical Reference by Patel Rashmi (4 results)

Author
Title
Refine with Advanced Search

Refine your search

  • Books (4)

  • New (4)

to

Custom price range (US$)

to

  • Language: English

    Published by Independently published, 2026

    9798188521158

    Series: Book 10 of 18 - AI and ML Reference handbooks

    • Softcover

    Seller: PBShop.store UK, Fairford, GLOS, United KingdomPBShop.store UK

    5-star seller
    Contact seller

    Condition: New

    US$ 26.68

    US$ 5.56 shipping 
    Ships from United Kingdom to U.S.A.

    Quantity: Over 20 available

    PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

  • Language: English

    Published by Independently Published Jul 2026, 2026

    9798188521158

    Series: Book 10 of 18 - AI and ML Reference handbooks

    • Softcover

    Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

    5-star seller
    Contact seller

    Condition: New

    US$ 53.28

    US$ 35.00 shipping 
    Ships from Germany to U.S.A.

    Quantity: 2 available

    Taschenbuch. Condition: 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.

  • Language: English

    Published by Independently published, 2026

    9798188521158

    Series: Book 10 of 18 - AI and ML Reference handbooks

    • Softcover
    • Print on Demand

    Seller: California Books, Miami, FL, U.S.A.California Books

    4-star seller
    Contact seller

    Condition: New

    US$ 26.00

     Free Shipping 
    Ships within U.S.A.

    Quantity: Over 20 available

    Condition: New. Print on Demand.

  • Language: English

    Published by Independently Published, 2026

    9798188521158

    Series: Book 10 of 18 - AI and ML Reference handbooks

    • Softcover
    • Print on Demand

    Seller: CitiRetail, Stevenage, United KingdomCitiRetail

    5-star seller
    Contact seller

    Condition: New

    US$ 30.93

    US$ 49.42 shipping 
    Ships from United Kingdom to U.S.A.

    Quantity: 1 available

    Paperback. Condition: 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.