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How to Manage with NLP 3e

Author : David Molden
Publisher : Pearson UK
ISBN 13 : 0273745670
Total Pages : 179 pages
Book Rating : 4.2/5 (737 download)

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Book Synopsis How to Manage with NLP 3e by : David Molden

Download or read book How to Manage with NLP 3e written by David Molden and published by Pearson UK. This book was released on 2012-10-12 with total page 179 pages. Available in PDF, EPUB and Kindle. Book excerpt: With NLP you can achieve even greater success as a manager. Whether you need to improve your communication, develop your strategic planning or nurture your creative thinking, NLP gives you the tools to dramatically improve your performance as a manager or a leader. NLP has been used for years to help busy managers and leaders all over the world boost their communication skills and get the best out of their teams, time after time. Now it’s your turn to discover the most effective tool for managers on the planet. Inside you’ll discover how to: ̈ Develop trust, rapport and credibility with your team and clients ̈ Handle every managerial challenge effectively ̈ Develop long-lasting relationships that will take you and your team from strength to strength Now in its third edition How to Manage with NLP contains all the background, concepts and techniques you’ll ever need along with practical exercises to ensure you get develop a thorough grounding and understanding. Are you ready to be amazed and amazing? Read on! “This is a ‘must have’ book for any leader interested in improving their capabilities in engaging with people, teambuilding and managing change.” David R. Steele, Managing Director, International Paper Ireland “David Molden is a master of both NLP and management.” Wyatt Woodsmall PhD, The National Training Institute for NLP “An amazing array of essential topics with plenty of practical examples and applications of NLP to management and business.” Marvin Oka, NLP Master Trainer, The International NLP Trainers Association

How to Manage with NLP 3e PDF eBook

Author : David Molden
Publisher : Pearson UK
ISBN 13 : 0273745700
Total Pages : 265 pages
Book Rating : 4.2/5 (737 download)

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Book Synopsis How to Manage with NLP 3e PDF eBook by : David Molden

Download or read book How to Manage with NLP 3e PDF eBook written by David Molden and published by Pearson UK. This book was released on 2011-05-26 with total page 265 pages. Available in PDF, EPUB and Kindle. Book excerpt:

How to Manage with NLP, 3rd Edition

Author : David Molden
Publisher :
ISBN 13 :
Total Pages : 264 pages
Book Rating : 4.:/5 (12 download)

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Book Synopsis How to Manage with NLP, 3rd Edition by : David Molden

Download or read book How to Manage with NLP, 3rd Edition written by David Molden and published by . This book was released on 2011 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: With NLP you can achieve even greater success as a manager. Whether you need to improve your communication, develop your strategic planning or nurture your creative thinking, NLP gives you the tools to dramatically improve your performance as a manager or a leader. NLP has been used for years to help busy managers and leaders all over the world boost their communication skills and get the best out of their teams, time after time. Now itņs your turn to discover the most effective tool for managers on the planet. Inside youņll discover how to: ̈ Develop trust, rapport and credibility with your team and clients ̈ Handle every managerial challenge effectively ̈ Develop long-lasting relationships that will take you and your team from strength to strength Now in its third edition How to Manage with NLP contains all the background, concepts and techniques youņll ever need along with practical exercises to ensure you get develop a thorough grounding and understanding. Are you ready to be amazed and amazing? Read on! ŇThis is a Ņmust haveņ book for any leader interested in improving their capabilities in engaging with people, teambuilding and managing change.ň David R. Steele, Managing Director, International Paper Ireland 𔟚vid Molden is a master of both NLP and management.ň Wyatt Woodsmall PhD, The National Training Institute for NLP ᑺn amazing array of essential topics with plenty of practical examples and applications of NLP to management and business.ň Marvin Oka, NLP Master Trainer, The International NLP Trainers Association.

Brilliant NLP ePub eBook

Author : David Molden
Publisher : Pearson UK
ISBN 13 : 0273778781
Total Pages : 181 pages
Book Rating : 4.2/5 (737 download)

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Book Synopsis Brilliant NLP ePub eBook by : David Molden

Download or read book Brilliant NLP ePub eBook written by David Molden and published by Pearson UK. This book was released on 2013-07-31 with total page 181 pages. Available in PDF, EPUB and Kindle. Book excerpt: Master the tools of NLP and become more effective, more efficient, more powerful and more successful. NLP can provide powerful tools and techniques to help you make positive changes in your life. This book clearly explains how NLP works and includes plenty of exercises to help you put the theory intro practice. This new edition gives you everything you need to know about NLP and how to do it – with more tips, examples, techniques and insights to show how NLP can work for you. Brilliant outcomes: - Understand and master NLP step by step - Discover how to apply NLP to your life, right now - Change your thinking; change your life.

How to Manage with NLP

Author : David Molden
Publisher : Financial Times/Prentice Hall
ISBN 13 : 9780273745662
Total Pages : 254 pages
Book Rating : 4.7/5 (456 download)

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Book Synopsis How to Manage with NLP by : David Molden

Download or read book How to Manage with NLP written by David Molden and published by Financial Times/Prentice Hall. This book was released on 2011 with total page 254 pages. Available in PDF, EPUB and Kindle. Book excerpt: With NLP you can achieve even greater success as a manager. Whether you need to improve your communication, develop your strategic planning or nurture your creative thinking, NLP gives you the tools to dramatically improve your performance as a manager or a leader. NLP has been used for years to help busy managers and leaders all over the world boost their communication skills and get the best out of their teams, time after time. Now it's your turn to discover the most effective tool for managers on the planet. Inside you'll discover how to: ¨ Develop trust, rapport and credibility with your team and clients ¨ Handle every managerial challenge effectively ¨ Develop long-lasting relationships that will take you and your team from strength to strength Now in its third edition How to Manage with NLP contains all the background, concepts and techniques you'll ever need along with practical exercises to ensure you get develop a thorough grounding and understanding. Are you ready to be amazed and amazing? Read on! "This is a 'must have' book for any leader interested in improving their capabilities in engaging with people, teambuilding and managing change." David R. Steele, Managing Director, International Paper Ireland "David Molden is a master of both NLP and management." Wyatt Woodsmall PhD, The National Training Institute for NLP "An amazing array of essential topics with plenty of practical examples and applications of NLP to management and business." Marvin Oka, NLP Master Trainer, The International NLP Trainers Association

Transformers for Natural Language Processing and Computer Vision

Author : Denis Rothman
Publisher : Packt Publishing Ltd
ISBN 13 : 1805123742
Total Pages : 731 pages
Book Rating : 4.8/5 (51 download)

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Book Synopsis Transformers for Natural Language Processing and Computer Vision by : Denis Rothman

Download or read book Transformers for Natural Language Processing and Computer Vision written by Denis Rothman and published by Packt Publishing Ltd. This book was released on 2024-02-29 with total page 731 pages. Available in PDF, EPUB and Kindle. Book excerpt: The definitive guide to LLMs, from architectures, pretraining, and fine-tuning to Retrieval Augmented Generation (RAG), multimodal Generative AI, risks, and implementations with ChatGPT Plus with GPT-4, Hugging Face, and Vertex AI Key Features Compare and contrast 20+ models (including GPT-4, BERT, and Llama 2) and multiple platforms and libraries to find the right solution for your project Apply RAG with LLMs using customized texts and embeddings Mitigate LLM risks, such as hallucinations, using moderation models and knowledge bases Purchase of the print or Kindle book includes a free eBook in PDF format Book DescriptionTransformers for Natural Language Processing and Computer Vision, Third Edition, explores Large Language Model (LLM) architectures, applications, and various platforms (Hugging Face, OpenAI, and Google Vertex AI) used for Natural Language Processing (NLP) and Computer Vision (CV). The book guides you through different transformer architectures to the latest Foundation Models and Generative AI. You’ll pretrain and fine-tune LLMs and work through different use cases, from summarization to implementing question-answering systems with embedding-based search techniques. You will also learn the risks of LLMs, from hallucinations and memorization to privacy, and how to mitigate such risks using moderation models with rule and knowledge bases. You’ll implement Retrieval Augmented Generation (RAG) with LLMs to improve the accuracy of your models and gain greater control over LLM outputs. Dive into generative vision transformers and multimodal model architectures and build applications, such as image and video-to-text classifiers. Go further by combining different models and platforms and learning about AI agent replication. This book provides you with an understanding of transformer architectures, pretraining, fine-tuning, LLM use cases, and best practices.What you will learn Breakdown and understand the architectures of the Original Transformer, BERT, GPT models, T5, PaLM, ViT, CLIP, and DALL-E Fine-tune BERT, GPT, and PaLM 2 models Learn about different tokenizers and the best practices for preprocessing language data Pretrain a RoBERTa model from scratch Implement retrieval augmented generation and rules bases to mitigate hallucinations Visualize transformer model activity for deeper insights using BertViz, LIME, and SHAP Go in-depth into vision transformers with CLIP, DALL-E 2, DALL-E 3, and GPT-4V Who this book is for This book is ideal for NLP and CV engineers, software developers, data scientists, machine learning engineers, and technical leaders looking to advance their LLMs and generative AI skills or explore the latest trends in the field. Knowledge of Python and machine learning concepts is required to fully understand the use cases and code examples. However, with examples using LLM user interfaces, prompt engineering, and no-code model building, this book is great for anyone curious about the AI revolution.

Natural Language Processing with Python

Author : Steven Bird
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 0596555717
Total Pages : 506 pages
Book Rating : 4.5/5 (965 download)

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Book Synopsis Natural Language Processing with Python by : Steven Bird

Download or read book Natural Language Processing with Python written by Steven Bird and published by "O'Reilly Media, Inc.". This book was released on 2009-06-12 with total page 506 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers a highly accessible introduction to natural language processing, the field that supports a variety of language technologies, from predictive text and email filtering to automatic summarization and translation. With it, you'll learn how to write Python programs that work with large collections of unstructured text. You'll access richly annotated datasets using a comprehensive range of linguistic data structures, and you'll understand the main algorithms for analyzing the content and structure of written communication. Packed with examples and exercises, Natural Language Processing with Python will help you: Extract information from unstructured text, either to guess the topic or identify "named entities" Analyze linguistic structure in text, including parsing and semantic analysis Access popular linguistic databases, including WordNet and treebanks Integrate techniques drawn from fields as diverse as linguistics and artificial intelligence This book will help you gain practical skills in natural language processing using the Python programming language and the Natural Language Toolkit (NLTK) open source library. If you're interested in developing web applications, analyzing multilingual news sources, or documenting endangered languages -- or if you're simply curious to have a programmer's perspective on how human language works -- you'll find Natural Language Processing with Python both fascinating and immensely useful.

Speech & Language Processing

Author : Dan Jurafsky
Publisher : Pearson Education India
ISBN 13 : 9788131716724
Total Pages : 912 pages
Book Rating : 4.7/5 (167 download)

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Book Synopsis Speech & Language Processing by : Dan Jurafsky

Download or read book Speech & Language Processing written by Dan Jurafsky and published by Pearson Education India. This book was released on 2000-09 with total page 912 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Introduction to Information Retrieval

Author : Christopher D. Manning
Publisher : Cambridge University Press
ISBN 13 : 1139472100
Total Pages : pages
Book Rating : 4.1/5 (394 download)

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Book Synopsis Introduction to Information Retrieval by : Christopher D. Manning

Download or read book Introduction to Information Retrieval written by Christopher D. Manning and published by Cambridge University Press. This book was released on 2008-07-07 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Class-tested and coherent, this textbook teaches classical and web information retrieval, including web search and the related areas of text classification and text clustering from basic concepts. It gives an up-to-date treatment of all aspects of the design and implementation of systems for gathering, indexing, and searching documents; methods for evaluating systems; and an introduction to the use of machine learning methods on text collections. All the important ideas are explained using examples and figures, making it perfect for introductory courses in information retrieval for advanced undergraduates and graduate students in computer science. Based on feedback from extensive classroom experience, the book has been carefully structured in order to make teaching more natural and effective. Slides and additional exercises (with solutions for lecturers) are also available through the book's supporting website to help course instructors prepare their lectures.

NLP

Author : Tom Hoobyar
Publisher : Harper Collins
ISBN 13 : 0062083627
Total Pages : 488 pages
Book Rating : 4.0/5 (62 download)

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Book Synopsis NLP by : Tom Hoobyar

Download or read book NLP written by Tom Hoobyar and published by Harper Collins. This book was released on 2013-02-12 with total page 488 pages. Available in PDF, EPUB and Kindle. Book excerpt: By the team behind the bestselling NLP: The New Technology of Achievement comes an essential new guide to NLP techniques—for self-development and influencing others—in a focused, step-by-step handbook. NLP (Neuro-Linguistic Programming) has already helped millions of people overcome fears, increase confidence, enrich relationships, and achieve greater success. Now, from the company and training team behind NLP: The New Technology of Achievement, one of the bestselling NLP books of all time, comes NLP: The Essential Guide to Neuro-Linguistic Programming \. Written by three NLP Master Practitioners and training coaches, including the president of NLP Comprehensive, with an introduction from the President of NLP Comprehensive, NLP: The Essential Guide to Neuro-Linguistic Programming guides users to peak performance in business and life, and gets specific results. In twelve illuminating sections, NLP: The Essential Guide to Neuro-Linguistic Programming leads you through dozens of “discoveries”—revelations of NLP practice that enable you to explore your own personal thinking patterns, to manage them—and to transform them. Divided into two categories, “All About You” and “All About the Other Guy,” these strategies offer a personal and interpersonal program that frees you to become better at managing your feelings instead of being dominated by them, managing your motivations, being less judgmental, more productive, more confident, more flexible, more persuasive, liked, and respected. Chapters on “Personal Remodeling” (Discovery 9: No inner enemy) and “Secrets of Making Your Point” (Discovery 31: Convey understanding and safety without talking), enhance creativity, collaboration, cooperation, and communication. Through “mind reading” techniques—non-verbal communication, and “hearing what’s missing”—learn the secrets of relating with others, understanding how they are thinking—and influencing them. A streamlined all-purpose guide for both newcomers and NLP veterans, NLP: The Essential Guide to Neuro-Linguistic Programming is the new all-in-one, eye-opening blueprint for your own ultimate success.

Multilingual Natural Language Processing Applications

Author : Daniel Bikel
Publisher : IBM Press
ISBN 13 : 0137047819
Total Pages : 829 pages
Book Rating : 4.1/5 (37 download)

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Book Synopsis Multilingual Natural Language Processing Applications by : Daniel Bikel

Download or read book Multilingual Natural Language Processing Applications written by Daniel Bikel and published by IBM Press. This book was released on 2012-05-11 with total page 829 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multilingual Natural Language Processing Applications is the first comprehensive single-source guide to building robust and accurate multilingual NLP systems. Edited by two leading experts, it integrates cutting-edge advances with practical solutions drawn from extensive field experience. Part I introduces the core concepts and theoretical foundations of modern multilingual natural language processing, presenting today’s best practices for understanding word and document structure, analyzing syntax, modeling language, recognizing entailment, and detecting redundancy. Part II thoroughly addresses the practical considerations associated with building real-world applications, including information extraction, machine translation, information retrieval/search, summarization, question answering, distillation, processing pipelines, and more. This book contains important new contributions from leading researchers at IBM, Google, Microsoft, Thomson Reuters, BBN, CMU, University of Edinburgh, University of Washington, University of North Texas, and others. Coverage includes Core NLP problems, and today’s best algorithms for attacking them Processing the diverse morphologies present in the world’s languages Uncovering syntactical structure, parsing semantics, using semantic role labeling, and scoring grammaticality Recognizing inferences, subjectivity, and opinion polarity Managing key algorithmic and design tradeoffs in real-world applications Extracting information via mention detection, coreference resolution, and events Building large-scale systems for machine translation, information retrieval, and summarization Answering complex questions through distillation and other advanced techniques Creating dialog systems that leverage advances in speech recognition, synthesis, and dialog management Constructing common infrastructure for multiple multilingual text processing applications This book will be invaluable for all engineers, software developers, researchers, and graduate students who want to process large quantities of text in multiple languages, in any environment: government, corporate, or academic.

Deep Learning Interviews

Author : Shlomo Kashani
Publisher :
ISBN 13 : 9781034057253
Total Pages : pages
Book Rating : 4.0/5 (572 download)

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Book Synopsis Deep Learning Interviews by : Shlomo Kashani

Download or read book Deep Learning Interviews written by Shlomo Kashani and published by . This book was released on 2020-12-09 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The book's contents is a large inventory of numerous topics relevant to DL job interviews and graduate level exams. That places this work at the forefront of the growing trend in science to teach a core set of practical mathematical and computational skills. It is widely accepted that the training of every computer scientist must include the fundamental theorems of ML, and AI appears in the curriculum of nearly every university. This volume is designed as an excellent reference for graduates of such programs.

Introduction to Applied Linear Algebra

Author : Stephen Boyd
Publisher : Cambridge University Press
ISBN 13 : 1316518965
Total Pages : 477 pages
Book Rating : 4.3/5 (165 download)

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Book Synopsis Introduction to Applied Linear Algebra by : Stephen Boyd

Download or read book Introduction to Applied Linear Algebra written by Stephen Boyd and published by Cambridge University Press. This book was released on 2018-06-07 with total page 477 pages. Available in PDF, EPUB and Kindle. Book excerpt: A groundbreaking introduction to vectors, matrices, and least squares for engineering applications, offering a wealth of practical examples.

Computer Engineering: Concepts, Methodologies, Tools and Applications

Author : Management Association, Information Resources
Publisher : IGI Global
ISBN 13 : 1613504578
Total Pages : 2079 pages
Book Rating : 4.6/5 (135 download)

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Book Synopsis Computer Engineering: Concepts, Methodologies, Tools and Applications by : Management Association, Information Resources

Download or read book Computer Engineering: Concepts, Methodologies, Tools and Applications written by Management Association, Information Resources and published by IGI Global. This book was released on 2011-12-31 with total page 2079 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This reference is a broad, multi-volume collection of the best recent works published under the umbrella of computer engineering, including perspectives on the fundamental aspects, tools and technologies, methods and design, applications, managerial impact, social/behavioral perspectives, critical issues, and emerging trends in the field"--Provided by publisher.

Text Analytics with Python

Author : Dipanjan Sarkar
Publisher : Apress
ISBN 13 : 1484223888
Total Pages : 397 pages
Book Rating : 4.4/5 (842 download)

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Book Synopsis Text Analytics with Python by : Dipanjan Sarkar

Download or read book Text Analytics with Python written by Dipanjan Sarkar and published by Apress. This book was released on 2016-11-30 with total page 397 pages. Available in PDF, EPUB and Kindle. Book excerpt: Derive useful insights from your data using Python. You will learn both basic and advanced concepts, including text and language syntax, structure, and semantics. You will focus on algorithms and techniques, such as text classification, clustering, topic modeling, and text summarization. Text Analytics with Python teaches you the techniques related to natural language processing and text analytics, and you will gain the skills to know which technique is best suited to solve a particular problem. You will look at each technique and algorithm with both a bird's eye view to understand how it can be used as well as with a microscopic view to understand the mathematical concepts and to implement them to solve your own problems. What You Will Learn: Understand the major concepts and techniques of natural language processing (NLP) and text analytics, including syntax and structure Build a text classification system to categorize news articles, analyze app or game reviews using topic modeling and text summarization, and cluster popular movie synopses and analyze the sentiment of movie reviews Implement Python and popular open source libraries in NLP and text analytics, such as the natural language toolkit (nltk), gensim, scikit-learn, spaCy and Pattern Who This Book Is For : IT professionals, analysts, developers, linguistic experts, data scientists, and anyone with a keen interest in linguistics, analytics, and generating insights from textual data

Representation Learning for Natural Language Processing

Author : Zhiyuan Liu
Publisher : Springer Nature
ISBN 13 : 9811555737
Total Pages : 319 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Representation Learning for Natural Language Processing by : Zhiyuan Liu

Download or read book Representation Learning for Natural Language Processing written by Zhiyuan Liu and published by Springer Nature. This book was released on 2020-07-03 with total page 319 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book provides an overview of the recent advances in representation learning theory, algorithms and applications for natural language processing (NLP). It is divided into three parts. Part I presents the representation learning techniques for multiple language entries, including words, phrases, sentences and documents. Part II then introduces the representation techniques for those objects that are closely related to NLP, including entity-based world knowledge, sememe-based linguistic knowledge, networks, and cross-modal entries. Lastly, Part III provides open resource tools for representation learning techniques, and discusses the remaining challenges and future research directions. The theories and algorithms of representation learning presented can also benefit other related domains such as machine learning, social network analysis, semantic Web, information retrieval, data mining and computational biology. This book is intended for advanced undergraduate and graduate students, post-doctoral fellows, researchers, lecturers, and industrial engineers, as well as anyone interested in representation learning and natural language processing.

Transformers for Natural Language Processing

Author : Denis Rothman
Publisher : Packt Publishing Ltd
ISBN 13 : 1800568630
Total Pages : 385 pages
Book Rating : 4.8/5 (5 download)

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Book Synopsis Transformers for Natural Language Processing by : Denis Rothman

Download or read book Transformers for Natural Language Processing written by Denis Rothman and published by Packt Publishing Ltd. This book was released on 2021-01-29 with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt: Publisher's Note: A new edition of this book is out now that includes working with GPT-3 and comparing the results with other models. It includes even more use cases, such as casual language analysis and computer vision tasks, as well as an introduction to OpenAI's Codex. Key FeaturesBuild and implement state-of-the-art language models, such as the original Transformer, BERT, T5, and GPT-2, using concepts that outperform classical deep learning modelsGo through hands-on applications in Python using Google Colaboratory Notebooks with nothing to install on a local machineTest transformer models on advanced use casesBook Description The transformer architecture has proved to be revolutionary in outperforming the classical RNN and CNN models in use today. With an apply-as-you-learn approach, Transformers for Natural Language Processing investigates in vast detail the deep learning for machine translations, speech-to-text, text-to-speech, language modeling, question answering, and many more NLP domains with transformers. The book takes you through NLP with Python and examines various eminent models and datasets within the transformer architecture created by pioneers such as Google, Facebook, Microsoft, OpenAI, and Hugging Face. The book trains you in three stages. The first stage introduces you to transformer architectures, starting with the original transformer, before moving on to RoBERTa, BERT, and DistilBERT models. You will discover training methods for smaller transformers that can outperform GPT-3 in some cases. In the second stage, you will apply transformers for Natural Language Understanding (NLU) and Natural Language Generation (NLG). Finally, the third stage will help you grasp advanced language understanding techniques such as optimizing social network datasets and fake news identification. By the end of this NLP book, you will understand transformers from a cognitive science perspective and be proficient in applying pretrained transformer models by tech giants to various datasets. What you will learnUse the latest pretrained transformer modelsGrasp the workings of the original Transformer, GPT-2, BERT, T5, and other transformer modelsCreate language understanding Python programs using concepts that outperform classical deep learning modelsUse a variety of NLP platforms, including Hugging Face, Trax, and AllenNLPApply Python, TensorFlow, and Keras programs to sentiment analysis, text summarization, speech recognition, machine translations, and moreMeasure the productivity of key transformers to define their scope, potential, and limits in productionWho this book is for Since the book does not teach basic programming, you must be familiar with neural networks, Python, PyTorch, and TensorFlow in order to learn their implementation with Transformers. Readers who can benefit the most from this book include experienced deep learning & NLP practitioners and data analysts & data scientists who want to process the increasing amounts of language-driven data.