Mastering Spacy
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Mastering Spacy
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Author : Déborah Mesquita
language : en
Publisher: Packt Publishing Ltd
Release Date : 2025-02-14
Mastering Spacy written by Déborah Mesquita and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-14 with Computers categories.
Discover how to master advanced spaCy techniques, including custom pipelines, LLM integration, and model training, to build NLP solutions efficiently and effectively Key Features Build End-to-End NLP Workflows, From Local Development to Production with Weasel and FastAPI Master No-Training NLP Development with spaCy-LLM, From Prompt Engineering to Custom Tasks Create Advanced NLP Solutions, From Custom Components to Neural Coreference Resolution Book Description Mastering spaCy, Second Edition is your comprehensive guide to building sophisticated NLP applications using the spaCy ecosystem. This revised edition embraces the latest advancements in NLP, featuring new chapters on Large Language Models with spaCy-LLM, transformers integration, and end-to-end workflow management with Weasel. With this new edition you’ll learn to enhance NLP tasks using LLMs with spaCy-llm, manage end-to-end workflows using Weasel and integrating spaCy with third-party libraries like Streamlit, FastAPI, and DVC. From training custom named entity recognition (NER) pipelines to categorizing emotions in Reddit posts, readers will explore advanced topics like text classification and coreference resolution. This book takes you on a journey through spaCy’s capabilities, starting with the fundamentals of NLP, such as tokenization, named entity recognition, and dependency parsing. As you progress, you’ll delve into advanced topics like creating custom components, training domain-specific models, and building scalable NLP workflows. By end of the book, through practical examples, clear explanations, tips and tricks you will be empowered to build robust NLP pipelines and integrate them with web applications to build end-to-end solutions. What will you learn Apply transformer models and fine-tune them for specialized NLP tasks Master spaCy core functionalities including data structures and processing pipelines Develop custom pipeline components and semantic extractors for domain-specific needs Build scalable applications by integrating spaCy with FastAPI, Streamlit, and DVC Master advanced spaCy features including coreference resolution and neural pipeline components Train domain-specific models, including NER and coreference resolution Prototype rapidly with spaCy-LLM and develop custom LLM tasks Who this book is for This book is tailored for NLP engineers, machine learning developers, and LLM engineers looking to build production-grade language processing solutions. While primarily targeting professionals working with language models and NLP pipelines, it's also valuable for software engineers transitioning into NLP development. Basic Python programming knowledge and familiarity with NLP concepts is recommended to leverage spaCy's latest capabilities.
Mastering Spacy
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Author : Duygu Altinok
language : en
Publisher: Packt Publishing Ltd
Release Date : 2021-07-09
Mastering Spacy written by Duygu Altinok and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-09 with Computers categories.
Build end-to-end industrial-strength NLP models using advanced morphological and syntactic features in spaCy to create real-world applications with ease Key FeaturesGain an overview of what spaCy offers for natural language processingLearn details of spaCy's features and how to use them effectivelyWork through practical recipes using spaCyBook Description spaCy is an industrial-grade, efficient NLP Python library. It offers various pre-trained models and ready-to-use features. Mastering spaCy provides you with end-to-end coverage of spaCy's features and real-world applications. You'll begin by installing spaCy and downloading models, before progressing to spaCy's features and prototyping real-world NLP apps. Next, you'll get familiar with visualizing with spaCy's popular visualizer displaCy. The book also equips you with practical illustrations for pattern matching and helps you advance into the world of semantics with word vectors. Statistical information extraction methods are also explained in detail. Later, you'll cover an interactive business case study that shows you how to combine all spaCy features for creating a real-world NLP pipeline. You'll implement ML models such as sentiment analysis, intent recognition, and context resolution. The book further focuses on classification with popular frameworks such as TensorFlow's Keras API together with spaCy. You'll cover popular topics, including intent classification and sentiment analysis, and use them on popular datasets and interpret the classification results. By the end of this book, you'll be able to confidently use spaCy, including its linguistic features, word vectors, and classifiers, to create your own NLP apps. What you will learnInstall spaCy, get started easily, and write your first Python scriptUnderstand core linguistic operations of spaCyDiscover how to combine rule-based components with spaCy statistical modelsBecome well-versed with named entity and keyword extractionBuild your own ML pipelines using spaCyApply all the knowledge you've gained to design a chatbot using spaCyWho this book is for This book is for data scientists and machine learners who want to excel in NLP as well as NLP developers who want to master spaCy and build applications with it. Language and speech professionals who want to get hands-on with Python and spaCy and software developers who want to quickly prototype applications with spaCy will also find this book helpful. Beginner-level knowledge of the Python programming language is required to get the most out of this book. A beginner-level understanding of linguistics such as parsing, POS tags, and semantic similarity will also be useful.
Mastering Spacy
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Author : Marek Ellison
language : en
Publisher: Independently Published
Release Date : 2025-07
Mastering Spacy written by Marek Ellison and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07 with Computers categories.
Unlock the Power of spaCy and Transform Text into Actionable Insights - Even If You're Just Getting Started Natural Language Processing (NLP) is no longer a futuristic concept-it's the backbone of today's smartest apps, chatbots, voice assistants, and intelligent search engines. But mastering it doesn't have to be overwhelming. With "Mastering spaCy", you'll get a clear, hands-on introduction to building NLP solutions using Python's most powerful NLP library-spaCy. This beginner-friendly guide walks you through practical, real-world projects while breaking down complex topics into digestible steps. Whether you're a developer curious about text analytics, a data scientist seeking automation with language models, or a complete beginner wanting to enter the world of AI, this book gives you the tools to process, understand, and act on human language using spaCy. Inside, you'll learn how to: Install and navigate the spaCy library with confidence Perform tokenization, part-of-speech tagging, named entity recognition, and syntactic parsing Build custom pipelines and integrate pre-trained models into your apps Train your own NLP models with clean, structured workflows Extract insights from social media, customer reviews, documents, and more You won't just read about theory-you'll build real projects and learn through doing. By the end of this book, you'll not only understand the mechanics of spaCy, but also feel empowered to apply NLP in practical ways that can elevate your career, automate processes, and create smart applications. If you've ever wanted to build tools that can understand language like a human-but with machine speed and precision-this book is your perfect starting point. Start mastering spaCy today, and let your journey into the world of intelligent language processing begin.
Mastering Spacy For Developers
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Author : Edward R DeForest
language : en
Publisher: Independently Published
Release Date : 2024-05-16
Mastering Spacy For Developers written by Edward R DeForest and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-16 with Computers categories.
Mastering spaCy for Developers: Build Powerful Natural Language Processing Solutions About the Technology: spaCy is a free, open-source library that empowers developers to wield the power of Natural Language Processing (NLP) in their Python projects. spaCy simplifies complex NLP tasks like sentiment analysis, named entity recognition, and text classification, making them accessible for developers of all experience levels. Worries and Challenges You Might Face: Feeling overwhelmed: NLP can seem like a complex and ever-evolving field. Struggling with code implementation: Turning NLP concepts into practical code can be challenging. Keeping your projects up-to-date: The world of NLP is constantly advancing, and maintaining your spaCy skills can feel daunting. What to Expect from This Book: Clear and concise explanations: Demystify NLP concepts with practical examples and step-by-step guides. Hands-on coding exercises: Build real-world NLP applications using spaCy, solidifying your learning through practice. Best practices and expert insights: Learn from the author's experience to overcome common challenges and optimize your spaCy projects. Coverage of advanced features: Explore spaCy's full potential, including custom language models, performance optimization, and integration with other NLP libraries. Take control of your NLP journey! Master spaCy for Developers is your roadmap to building powerful and effective NLP applications. Get your copy today and unlock the hidden insights within your text
Mastering Spacy For Nlp
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Author : HENRY. LUCAS
language : en
Publisher: Independently Published
Release Date : 2025-07-03
Mastering Spacy For Nlp written by HENRY. LUCAS and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-03 with Computers categories.
Unlock the full potential of Natural Language Processing with spaCy-the powerful Python library trusted by industry professionals. Whether you're an aspiring developer, data scientist, or NLP enthusiast, this hands-on guide will show you exactly how to build efficient, production-grade language processing tools that work in real-world applications. Mastering spaCy for NLP bridges the gap between academic theory and practical implementation. You'll start with the foundations of spaCy and quickly progress to advanced topics like training custom pipelines, tokenization optimization, named entity recognition, part-of-speech tagging, and integrating spaCy with modern APIs, web apps, and machine learning models. Along the way, you'll explore real case studies, reusable code patterns, and expert techniques for building NLP-powered software at scale. This book doesn't just teach you how spaCy works-it shows you how to use it to solve real problems. From document classification and chatbots to semantic search and information extraction, you'll gain the skills and confidence to create intelligent systems that understand and process human language effectively. If you're ready to stop tinkering with toy examples and start building serious NLP applications, this book is your essential companion.
Mastering Spacy For Nlp Software Development
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Author : Edward R DeForest
language : en
Publisher: Independently Published
Release Date : 2024-03-13
Mastering Spacy For Nlp Software Development written by Edward R DeForest and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-13 with Computers categories.
Unlocking the Power of NLP: Master spaCy for Cutting-Edge Applications Worried about the complexity of natural language processing (NLP)? Feeling challenged by integrating NLP functionalities into your software development projects? Mastering spaCy for NLP Software Development is your guide to conquering these hurdles! This comprehensive book empowers you, regardless of your background, to leverage the power of spaCy, a free and open-source library, for building intelligent applications. What to expect: Clear and concise explanations, even for NLP beginners. Step-by-step tutorials to guide you through building real-world NLP applications. Practical techniques for tasks like text cleaning, named entity recognition, sentiment analysis, and more. In-depth coverage of spaCy's features and functionalities. Code examples that you can easily adapt to your own projects. Mastering spaCy for NLP Software Development will equip you with the skills and knowledge to: Automate tasks that involve text analysis and manipulation. Extract valuable insights from large amounts of textual data. Develop innovative applications that understand and respond to human language. Are you ready to take your NLP skills to the next level? Get your copy of Mastering spaCy for NLP Software Development today and start building the future of intelligent applications!
Natural Language Processing
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Author : Raymond Lee
language : en
Publisher: Springer Nature
Release Date : 2025-04-16
Natural Language Processing written by Raymond Lee and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-16 with Computers categories.
This textbook provides a contemporary and comprehensive overview of Natural Language Processing (NLP), covering fundamental concepts, core algorithms, and key applications such as AI chatbots, Large Language Models and Generative AI. Additionally, it includes seven step-by-step NLP workshops, totaling 14 hours, that offer hands-on practice with essential Python tools, including NLTK, spaCy, TensorFlow, Keras, Transformers, and BERT. The objective of this book is to provide readers with a fundamental grasp of NLP and its core technologies, and to enable them to build their own NLP applications (e.g. Chatbot systems) using Python-based NLP tools. It is both a textbook and NLP tool-book intended for the following readers: undergraduate students from various disciplines who want to learn NLP; lecturers and tutors who want to teach courses or tutorials for undergraduate/graduate students on NLP and related AI topics; and readers with various backgrounds who want to learn NLP, and more importantly, to build workable NLP applications after completing its 14 hours of Python-based workshops.
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Author : 陳昭明
language : zh-CN
Publisher: 深智數位股份有限公司
Release Date : 2025-05-19
written by 陳昭明 and has been published by 深智數位股份有限公司 this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-19 with Mathematics categories.
https://youtu.be/8LZnGUmCLB0 ★☆★深度學習暢銷好書2025全新改版★☆★ 本書專為想掌握深度學習核心概念卻不希望陷入繁瑣數學推導的讀者而設計，以「以程式設計取代定理證明」為宗旨，透過實作引導理解，縮短學習曲線，提升學習趣味與成就感。 內容著重於演算法的觀念理解，輔以大量圖解說明，捨棄冗長的理論鋪陳，讓讀者能夠輕鬆掌握深度學習的核心原理。全書提供完整範例程式與多種演算法的實務應用，強調實用性與延伸性，期盼能激發讀者靈感，將所學應用於實際專案或產品開發中。 本次改版翻修實作的範例程式，並新增更多應用實例及演算法說明，例如Transformer、Diffusion Model等。 《深度學習最佳入門與專題實戰：自然語言處理、大型語言模型與強化學習篇》內容包括：自然語言處理相關演算法、大語言模型、語音辨識、強化學習等，全面涵蓋深度學習的自然語言處理及強化學習領域。 適合讀者 ►深度學習的入門者：必須熟悉Python 程式語言及機器學習基本概念。 ►資料工程師：以應用系統開發為職志，希望能應用各種演算法，進行實作。 ►資訊工作者：希望能擴展深度學習知識領域。 ►從事其他領域的工作，希望能一窺深度學習奧秘者。
Deep Learning With Fastai Cookbook
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Author : Mark Ryan
language : en
Publisher: Packt Publishing Ltd
Release Date : 2021-09-24
Deep Learning With Fastai Cookbook written by Mark Ryan and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-24 with Computers categories.
Harness the power of the easy-to-use, high-performance fastai framework to rapidly create complete deep learning solutions with few lines of code Key FeaturesDiscover how to apply state-of-the-art deep learning techniques to real-world problemsBuild and train neural networks using the power and flexibility of the fastai frameworkUse deep learning to tackle problems such as image classification and text classificationBook Description fastai is an easy-to-use deep learning framework built on top of PyTorch that lets you rapidly create complete deep learning solutions with as few as 10 lines of code. Both predominant low-level deep learning frameworks, TensorFlow and PyTorch, require a lot of code, even for straightforward applications. In contrast, fastai handles the messy details for you and lets you focus on applying deep learning to actually solve problems. The book begins by summarizing the value of fastai and showing you how to create a simple 'hello world' deep learning application with fastai. You'll then learn how to use fastai for all four application areas that the framework explicitly supports: tabular data, text data (NLP), recommender systems, and vision data. As you advance, you'll work through a series of practical examples that illustrate how to create real-world applications of each type. Next, you'll learn how to deploy fastai models, including creating a simple web application that predicts what object is depicted in an image. The book wraps up with an overview of the advanced features of fastai. By the end of this fastai book, you'll be able to create your own deep learning applications using fastai. You'll also have learned how to use fastai to prepare raw datasets, explore datasets, train deep learning models, and deploy trained models. What you will learnPrepare real-world raw datasets to train fastai deep learning modelsTrain fastai deep learning models using text and tabular dataCreate recommender systems with fastaiFind out how to assess whether fastai is a good fit for a given problemDeploy fastai deep learning models in web applicationsTrain fastai deep learning models for image classificationWho this book is for This book is for data scientists, machine learning developers, and deep learning enthusiasts looking to explore the fastai framework using a recipe-based approach. Working knowledge of the Python programming language and machine learning basics is strongly recommended to get the most out of this deep learning book.
Conversational Ai With Rasa
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Author : Xiaoquan Kong
language : en
Publisher: Packt Publishing Ltd
Release Date : 2021-10-08
Conversational Ai With Rasa written by Xiaoquan Kong and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-10-08 with Computers categories.
Create next-level AI assistants and transform how customers communicate with businesses with the power of natural language understanding and dialogue management using Rasa Key FeaturesUnderstand the architecture and put the underlying principles of the Rasa framework to practiceLearn how to quickly build different types of chatbots such as task-oriented, FAQ-like, and knowledge graph-based chatbotsExplore best practices for working with Rasa and its debugging and optimizing aspectsBook Description The Rasa framework enables developers to create industrial-strength chatbots using state-of-the-art natural language processing (NLP) and machine learning technologies quickly, all in open source. Conversational AI with Rasa starts by showing you how the two main components at the heart of Rasa work – Rasa NLU (natural language understanding) and Rasa Core. You'll then learn how to build, configure, train, and serve different types of chatbots from scratch by using the Rasa ecosystem. As you advance, you'll use form-based dialogue management, work with the response selector for chitchat and FAQ-like dialogs, make use of knowledge base actions to answer questions for dynamic queries, and much more. Furthermore, you'll understand how to customize the Rasa framework, use conversation-driven development patterns and tools to develop chatbots, explore what your bot can do, and easily fix any mistakes it makes by using interactive learning. Finally, you'll get to grips with deploying the Rasa system to a production environment with high performance and high scalability and cover best practices for building an efficient and robust chat system. By the end of this book, you'll be able to build and deploy your own chatbots using Rasa, addressing the common pain points encountered in the chatbot life cycle. What you will learnUse the response selector to handle chitchat and FAQsCreate custom actions using the Rasa SDKTrain Rasa to handle complex named entity recognitionBecome skilled at building custom components in the Rasa frameworkValidate and test dialogs end to end in RasaDevelop and refine a chatbot system by using conversation-driven deployment processingUse TensorBoard for tuning to find the best configuration optionsDebug and optimize dialogue systems based on RasaWho this book is for This book is for NLP professionals as well as machine learning and deep learning practitioners who have knowledge of natural language processing and want to build chatbots with Rasa. Anyone with beginner-level knowledge of NLP and deep learning will be able to get the most out of the book.