9798296311412 - natural language processing with python: build real-world nlp applications using nltk, spacy, and transformers de lofton, ryan (5 resultados)

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

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

Condición: New. Print on Demand.

Paperback. Condición: new. Paperback. Natural Language Processing with Python: Build Real-World NLP Applications Using NLTK, spaCy, and Transformers This hands-on guide takes you on a practical journey into the world of Natural Language Processing (NLP) using Python. Whether you're a beginner or looking to enhance your skills, this book equips you with the tools and techniques to build real-world NLP applications using the most popular libraries: NLTK, spaCy, and Hugging Face Transformers. From foundational text processing to cutting-edge deep learning models, you'll learn how to preprocess, analyze, and understand text in meaningful ways.Covering everything from tokenization and named entity recognition to fine-tuning transformer models like BERT and GPT, the book blends theory with real implementation. You'll work through complete projects such as text classification, sentiment analysis, question answering, and language generation making it easy to apply what you learn directly to real use cases.Natural Language Processing with Python bridges the gap between theory and practice by guiding readers through essential NLP workflows using three powerful libraries. You'll master the basics with NLTK, streamline processes with spaCy, and tap into state-of-the-art AI using Hugging Face Transformers. The book is structured to build your confidence from the ground up starting with core preprocessing tasks and culminating in the deployment of modern NLP applications. Key Features of This Book: Step-by-step tutorials for practical NLP tasks using real datasetsIn-depth exploration of NLTK, spaCy, and TransformersFull projects on text classification, summarization, and moreClear explanations with annotated code examplesGuidance on deploying NLP models with FastAPI or FlaskBest practices for evaluating model performance and mitigating biasThis book is ideal for Python developers, data scientists, machine learning enthusiasts, and students who want to learn NLP through hands-on projects. No prior experience with NLP is required, but a basic understanding of Python will help you get the most out of the book. Ready to unlock the power of language with code? Natural Language Processing with Python gives you the skills and confidence to build your own NLP applications from scratch. Start your NLP journey today and turn messy text into smart insights! This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Paperback. Condición: new. Paperback. Natural Language Processing with Python: Build Real-World NLP Applications Using NLTK, spaCy, and Transformers This hands-on guide takes you on a practical journey into the world of Natural Language Processing (NLP) using Python. Whether you're a beginner or looking to enhance your skills, this book equips you with the tools and techniques to build real-world NLP applications using the most popular libraries: NLTK, spaCy, and Hugging Face Transformers. From foundational text processing to cutting-edge deep learning models, you'll learn how to preprocess, analyze, and understand text in meaningful ways.Covering everything from tokenization and named entity recognition to fine-tuning transformer models like BERT and GPT, the book blends theory with real implementation. You'll work through complete projects such as text classification, sentiment analysis, question answering, and language generation making it easy to apply what you learn directly to real use cases.Natural Language Processing with Python bridges the gap between theory and practice by guiding readers through essential NLP workflows using three powerful libraries. You'll master the basics with NLTK, streamline processes with spaCy, and tap into state-of-the-art AI using Hugging Face Transformers. The book is structured to build your confidence from the ground up starting with core preprocessing tasks and culminating in the deployment of modern NLP applications. Key Features of This Book: Step-by-step tutorials for practical NLP tasks using real datasetsIn-depth exploration of NLTK, spaCy, and TransformersFull projects on text classification, summarization, and moreClear explanations with annotated code examplesGuidance on deploying NLP models with FastAPI or FlaskBest practices for evaluating model performance and mitigating biasThis book is ideal for Python developers, data scientists, machine learning enthusiasts, and students who want to learn NLP through hands-on projects. No prior experience with NLP is required, but a basic understanding of Python will help you get the most out of the book. Ready to unlock the power of language with code? Natural Language Processing with Python gives you the skills and confidence to build your own NLP applications from scratch. Start your NLP journey today and turn messy text into smart insights! This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…