Mastering Nlp

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Mastering Nlp From Foundations To Llms
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Author : Lior Gazit
language : en
Publisher: Packt Publishing Ltd
Release Date : 2024-04-26
Mastering Nlp From Foundations To Llms written by Lior Gazit 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 2024-04-26 with Computers categories.
Enhance your NLP proficiency with modern frameworks like LangChain, explore mathematical foundations and code samples, and gain expert insights into current and future trends Key Features Learn how to build Python-driven solutions with a focus on NLP, LLMs, RAGs, and GPT Master embedding techniques and machine learning principles for real-world applications Understand the mathematical foundations of NLP and deep learning designs Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionDo you want to master Natural Language Processing (NLP) but don’t know where to begin? This book will give you the right head start. Written by leaders in machine learning and NLP, Mastering NLP from Foundations to LLMs provides an in-depth introduction to techniques. Starting with the mathematical foundations of machine learning (ML), you’ll gradually progress to advanced NLP applications such as large language models (LLMs) and AI applications. You’ll get to grips with linear algebra, optimization, probability, and statistics, which are essential for understanding and implementing machine learning and NLP algorithms. You’ll also explore general machine learning techniques and find out how they relate to NLP. Next, you’ll learn how to preprocess text data, explore methods for cleaning and preparing text for analysis, and understand how to do text classification. You’ll get all of this and more along with complete Python code samples. By the end of the book, the advanced topics of LLMs’ theory, design, and applications will be discussed along with the future trends in NLP, which will feature expert opinions. You’ll also get to strengthen your practical skills by working on sample real-world NLP business problems and solutions.What you will learn Master the mathematical foundations of machine learning and NLP Implement advanced techniques for preprocessing text data and analysis Design ML-NLP systems in Python Model and classify text using traditional machine learning and deep learning methods Understand the theory and design of LLMs and their implementation for various applications in AI Explore NLP insights, trends, and expert opinions on its future direction and potential Who this book is for This book is for deep learning and machine learning researchers, NLP practitioners, ML/NLP educators, and STEM students. Professionals working with text data as part of their projects will also find plenty of useful information in this book. Beginner-level familiarity with machine learning and a basic working knowledge of Python will help you get the best out of this book.
Mastering Natural Language Processing
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Author : Cybellium
language : en
Publisher: Cybellium Ltd
Release Date :
Mastering Natural Language Processing written by Cybellium and has been published by Cybellium Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
Unveil the Secrets of Language Understanding and Generation In the realm of artificial intelligence and communication, Natural Language Processing (NLP) stands as a transformative force that bridges the gap between humans and machines. "Mastering Natural Language Processing" is your definitive guide to comprehending and harnessing the potential of this dynamic field, empowering you to create intelligent language-based applications with precision. About the Book: As technology evolves, the ability to understand and generate human language becomes increasingly essential. "Mastering Natural Language Processing" offers a comprehensive exploration of NLP—a crucial discipline in the world of AI and communication. This book caters to both beginners and experienced learners aiming to excel in NLP concepts, techniques, and applications. Key Features: NLP Fundamentals: Begin by understanding the core principles of Natural Language Processing. Learn about linguistic concepts, tokenization, and language models. Text Classification and Sentiment Analysis: Dive into text analysis techniques. Explore methods for classifying text and determining sentiment, enabling you to understand user opinions and emotions. Named Entity Recognition: Grasp the art of identifying entities in text. Understand how to extract names, places, dates, and other crucial information from unstructured data. Language Generation: Explore techniques for generating human-like language. Learn how to create chatbots, language models, and automated content. Machine Translation: Understand the significance of machine translation. Learn how to build systems that translate text between languages with accuracy. Speech Recognition: Delve into the realm of speech recognition. Explore techniques for converting spoken language into text, enabling voice interfaces and transcription. Question Answering Systems: Grasp the power of question-answering systems. Learn how to build applications that provide answers to user questions based on available data. Real-World Applications: Gain insights into how NLP is applied across industries. From customer service to healthcare, discover the diverse applications of natural language processing. Why This Book Matters: In an age of communication and interaction, mastering NLP offers a competitive advantage. "Mastering Natural Language Processing" empowers data scientists, developers, and technology enthusiasts to leverage NLP concepts, enabling them to create intelligent language-based applications that enhance user experiences and drive innovation. Revolutionize Communication with AI: In the landscape of artificial intelligence, Natural Language Processing is transforming how humans and machines interact. "Mastering Natural Language Processing" equips you with the knowledge needed to leverage NLP concepts, enabling you to create intelligent language-based applications that bridge communication gaps and redefine possibilities. Whether you're a seasoned practitioner or new to the world of NLP, this book will guide you in building a solid foundation for effective language-based solutions. Your journey to mastering Natural Language Processing starts here. © 2023 Cybellium Ltd. All rights reserved. www.cybellium.com
Mastering Natural Language Processing With Python
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Author : Deepti Chopra
language : en
Publisher: Packt Publishing
Release Date : 2016-06-10
Mastering Natural Language Processing With Python written by Deepti Chopra and has been published by Packt Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-06-10 with Computers categories.
Maximize your NLP capabilities while creating amazing NLP projects in PythonAbout This Book* Learn to implement various NLP tasks in Python* Gain insights into the current and budding research topics of NLP* This is a comprehensive step-by-step guide to help students and researchers create their own projects based on real-life applicationsWho This Book Is ForThis book is for intermediate level developers in NLP with a reasonable knowledge level and understanding of Python.What You Will Learn* Implement string matching algorithms and normalization techniques* Implement statistical language modeling techniques* Get an insight into developing a stemmer, lemmatizer, morphological analyzer, and morphological generator* Develop a search engine and implement POS tagging concepts and statistical modeling concepts involving the n gram approach* Familiarize yourself with concepts such as the Treebank construct, CFG construction, the CYK Chart Parsing algorithm, and the Earley Chart Parsing algorithm* Develop an NER-based system and understand and apply the concepts of sentiment analysis* Understand and implement the concepts of Information Retrieval and text summarization* Develop a Discourse Analysis System and Anaphora Resolution based systemIn DetailNatural Language Processing is one of the fields of computational linguistics and artificial intelligence that is concerned with human-computer interaction. It provides a seamless interaction between computers and human beings and gives computers the ability to understand human speech with the help of machine learning.This book will give you expertise on how to employ various NLP tasks in Python, giving you an insight into the best practices when designing and building NLP-based applications using Python. It will help you become an expert in no time and assist you in creating your own NLP projects using NLTK.You will sequentially be guided through applying machine learning tools to develop various models. We'll give you clarity on how to create training data and how to implement major NLP applications such as Named Entity Recognition, Question Answering System, Discourse Analysis, Transliteration, Word Sense disambiguation, Information Retrieval, Sentiment Analysis, Text Summarization, and Anaphora Resolution.
Mastering Large Language Models
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Author : Sanket Subhash Khandare
language : en
Publisher: BPB Publications
Release Date : 2024-03-12
Mastering Large Language Models written by Sanket Subhash Khandare and has been published by BPB Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-12 with Computers categories.
Do not just talk AI, build it: Your guide to LLM application development KEY FEATURES ● Explore NLP basics and LLM fundamentals, including essentials, challenges, and model types. ● Learn data handling and pre-processing techniques for efficient data management. ● Understand neural networks overview, including NN basics, RNNs, CNNs, and transformers. ● Strategies and examples for harnessing LLMs. DESCRIPTION Transform your business landscape with the formidable prowess of large language models (LLMs). The book provides you with practical insights, guiding you through conceiving, designing, and implementing impactful LLM-driven applications. This book explores NLP fundamentals like applications, evolution, components and language models. It teaches data pre-processing, neural networks , and specific architectures like RNNs, CNNs, and transformers. It tackles training challenges, advanced techniques such as GANs, meta-learning, and introduces top LLM models like GPT-3 and BERT. It also covers prompt engineering. Finally, it showcases LLM applications and emphasizes responsible development and deployment. With this book as your compass, you will navigate the ever-evolving landscape of LLM technology, staying ahead of the curve with the latest advancements and industry best practices. WHAT YOU WILL LEARN ● Grasp fundamentals of natural language processing (NLP) applications. ● Explore advanced architectures like transformers and their applications. ● Master techniques for training large language models effectively. ● Implement advanced strategies, such as meta-learning and self-supervised learning. ● Learn practical steps to build custom language model applications. WHO THIS BOOK IS FOR This book is tailored for those aiming to master large language models, including seasoned researchers, data scientists, developers, and practitioners in natural language processing (NLP). TABLE OF CONTENTS 1. Fundamentals of Natural Language Processing 2. Introduction to Language Models 3. Data Collection and Pre-processing for Language Modeling 4. Neural Networks in Language Modeling 5. Neural Network Architectures for Language Modeling 6. Transformer-based Models for Language Modeling 7. Training Large Language Models 8. Advanced Techniques for Language Modeling 9. Top Large Language Models 10. Building First LLM App 11. Applications of LLMs 12. Ethical Considerations 13. Prompt Engineering 14. Future of LLMs and Its Impact
Mastering Natural Language Processing Using Python
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Author : Dr. Goonjan Jain
language : en
Publisher: Sultan Chand & Sons
Release Date : 2025-02-01
Mastering Natural Language Processing Using Python written by Dr. Goonjan Jain and has been published by Sultan Chand & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-01 with Computers categories.
This book is a comprehensive guide to Natural Language Processing (NLP), designed for both beginners and advanced learners. Whether you're just starting or looking to refine your skills, this book takes you through every aspect of NLP – from the basics of text processing to cutting-edge machine learning techniques used in NLP today. It combines theoretical foundations with practical examples using Python, making complex NLP concepts accessible and actionable. The book is rich with practical exercises, hands-on Python code snippets, and visual aids, ensuring that readers not only understand the concepts but also see how they apply in real-world scenarios. By the end of the book, readers will be proficient in using NLP libraries and will have a clear understanding of how to implement NLP solutions in Python.
Mastering Transformers
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Author : Savaş Yıldırım
language : en
Publisher: Packt Publishing Ltd
Release Date : 2024-06-03
Mastering Transformers written by Savaş Yıldırım 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 2024-06-03 with Computers categories.
Explore transformer-based language models from BERT to GPT, delving into NLP and computer vision tasks, while tackling challenges effectively Key Features Understand the complexity of deep learning architecture and transformers architecture Create solutions to industrial natural language processing (NLP) and computer vision (CV) problems Explore challenges in the preparation process, such as problem and language-specific dataset transformation Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionTransformer-based language models such as BERT, T5, GPT, DALL-E, and ChatGPT have dominated NLP studies and become a new paradigm. Thanks to their accurate and fast fine-tuning capabilities, transformer-based language models have been able to outperform traditional machine learning-based approaches for many challenging natural language understanding (NLU) problems. Aside from NLP, a fast-growing area in multimodal learning and generative AI has recently been established, showing promising results. Mastering Transformers will help you understand and implement multimodal solutions, including text-to-image. Computer vision solutions that are based on transformers are also explained in the book. You’ll get started by understanding various transformer models before learning how to train different autoregressive language models such as GPT and XLNet. The book will also get you up to speed with boosting model performance, as well as tracking model training using the TensorBoard toolkit. In the later chapters, you’ll focus on using vision transformers to solve computer vision problems. Finally, you’ll discover how to harness the power of transformers to model time series data and for predicting. By the end of this transformers book, you’ll have an understanding of transformer models and how to use them to solve challenges in NLP and CV.What you will learn Focus on solving simple-to-complex NLP problems with Python Discover how to solve classification/regression problems with traditional NLP approaches Train a language model and explore how to fine-tune models to the downstream tasks Understand how to use transformers for generative AI and computer vision tasks Build transformer-based NLP apps with the Python transformers library Focus on language generation such as machine translation and conversational AI in any language Speed up transformer model inference to reduce latency Who this book is for This book is for deep learning researchers, hands-on practitioners, and ML/NLP researchers. Educators, as well as students who have a good command of programming subjects, knowledge in the field of machine learning and artificial intelligence, and who want to develop apps in the field of NLP as well as multimodal tasks will also benefit from this book’s hands-on approach. Knowledge of Python (or any programming language) and machine learning literature, as well as a basic understanding of computer science, are required.
How To Master The Universe A Guide For Mastering Your Personal Interpersonal And Professional Lives
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Author : Tad Bogdan
language : en
Publisher: Tad Bogdan
Release Date : 2022-02-16
How To Master The Universe A Guide For Mastering Your Personal Interpersonal And Professional Lives written by Tad Bogdan and has been published by Tad Bogdan this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-02-16 with Self-Help categories.
You are the CENTER OF THE UNIVERSE – the Center of Your Universe. I am the CENTER OF THE UNIVERSE too – the Center of My Universe. And every time a child is born, we have a new CENTER OF THE UNIVERSE. This concept is the foundation for the COTU (Center of the Universe) Principle. COTU Principle: Every entity is the Center of its own Universe and is motivated by its own survival and success. The MASTER THE UNIVERSE FORMULA builds upon this principle to provide a three-step process for you to master your personal, interpersonal, and professional lives. Reading this book promises to be one of the most thought-provoking experiences of your life – with concepts, theories, practical applications, and a foundation for further explorations. _______________ “Tad has the real-life sales, marketing, and leadership experience to provide credibility to the techniques he discusses in the business section of his book. He was a trailblazer at Sun Microsystems, where he started the company’s business in nine countries, negotiated one of our largest technology licensing deals, and launched a product that has been licensed to run on tens of billions of chip cards and smartphones. He also demonstrated an early passion for human development when he built and managed the first Sun Field Training organization.” Scott McNealy - Founder, and CEO of Sun Microsystems, Inc. _______________ "What an accomplishment! Your book is just jam-packed with value, so much interesting information, so much priceless, strategic advice, such a broad range of subjects." Joshua Hornick - Business Coach _______________ "This book is for all ages - your intention of 20 somethings is spot on and we also all know older people who can benefit from this wisdom" Donna Carroll - CEO, Alan Carroll & Assoc. (corporate training company) _______________ “. . . what I find interesting is the “Master the Universe Formula”. I feel as if it’s a concrete way to find one’s way in the real world. I also enjoy seeing the personal anecdotes and quotes sprinkled throughout the book. I would recommend it to young teens!” Matthew Dam – Teenage College Student _______________ “Great read! . . . I've never heard it articulated or formalized in this manner. It's interesting to see it explained in a different light and in a more methodical way, especially defining people/things as their own 'universe'.” Henry Tran – Principal Engineer, SpaceX _______________ “I think it’s a book people can learn from. The formula provides a fresh approach to looking at one’s life and interaction with others and the world that hasn’t been written before. I found myself getting immersed when reading some of the background information in Section 1 and the business section. When reading various sections, examples from my own life came to mind.” Lyndi Beale, Editor
The Spirit Of Nlp
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Author : L Michael Hall
language : en
Publisher: Crown House Publishing
Release Date : 1996-08-22
The Spirit Of Nlp written by L Michael Hall and has been published by Crown House Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996-08-22 with Psychology categories.
This fully revised edition brings you a brilliant Richard Bandler master training and significant contributions from Eric Robbie, Wyatt Woodsmall, Tad James, Christina Hall and the late Will MacDonald. "No other book covers this breadth of NLP Master Practitioner material." Frank Daniels, NLP trainer
Choose Your Beliefs Mastering Beliefs Blueprint For Infinite Success
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Author : Sanjay Kumar Agarwal
language : en
Publisher: Prabhat Prakashan
Release Date : 2024-03-30
Choose Your Beliefs Mastering Beliefs Blueprint For Infinite Success written by Sanjay Kumar Agarwal and has been published by Prabhat Prakashan this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-30 with Self-Help categories.
You certainly have more potential than you have unlocked so far. Do you also believe the same? If yes, congratulations that you came across this book. Read this book to know how you can achieve exponential growth by unlocking your hidden greatness by transforming your uninventive and disempowering beliefs into empowering ones. If you find yourself doubting your inner potential, this book is here to reveal a profound truth. Within its pages, you will uncover the incredible reservoir of inner greatness that resides within you that is waiting to be unleashed. Discover the transformative power of beliefs and learn how to reshape your mindset to create lasting impact in your life. The book shares how ‘GOPTA Mindset’ can help you redesign your personal and professional life. So, embark upon this empowering path of unlocking inner greatness and becoming the best version of yourself, every single day.
Mastering Transformers
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Author : Savas Yildirim
language : en
Publisher: Packt Publishing
Release Date : 2021-09-15
Mastering Transformers written by Savas Yildirim and has been published by Packt Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-15 with categories.
Take a problem-solving approach to learning all about transformers and get up and running in no time by implementing methodologies that will build the future of NLP Key Features: Explore quick prototyping with up-to-date Python libraries to create effective solutions to industrial problems Solve advanced NLP problems such as named-entity recognition, information extraction, language generation, and conversational AI Monitor your model's performance with the help of BertViz, exBERT, and TensorBoard Book Description: Transformer-based language models have dominated natural language processing (NLP) studies and have now become a new paradigm. With this book, you'll learn how to build various transformer-based NLP applications using the Python Transformers library. The book gives you an introduction to Transformers by showing you how to write your first hello-world program. You'll then learn how a tokenizer works and how to train your own tokenizer. As you advance, you'll explore the architecture of autoencoding models, such as BERT, and autoregressive models, such as GPT. You'll see how to train and fine-tune models for a variety of natural language understanding (NLU) and natural language generation (NLG) problems, including text classification, token classification, and text representation. This book also helps you to learn efficient models for challenging problems, such as long-context NLP tasks with limited computational capacity. You'll also work with multilingual and cross-lingual problems, optimize models by monitoring their performance, and discover how to deconstruct these models for interpretability and explainability. Finally, you'll be able to deploy your transformer models in a production environment. By the end of this NLP book, you'll have learned how to use Transformers to solve advanced NLP problems using advanced models. What You Will Learn: Explore state-of-the-art NLP solutions with the Transformers library Train a language model in any language with any transformer architecture Fine-tune a pre-trained language model to perform several downstream tasks Select the right framework for the training, evaluation, and production of an end-to-end solution Get hands-on experience in using TensorBoard and Weights & Biases Visualize the internal representation of transformer models for interpretability Who this book is for: This book is for deep learning researchers, hands-on NLP practitioners, as well as ML/NLP educators and students who want to start their journey with Transformers. Beginner-level machine learning knowledge and a good command of Python will help you get the best out of this book.