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Book NLP Hacks 2 In 1

    Book Details:
  • Author : Joseph Sperry
  • Publisher :
  • Release : 2019-11-27
  • ISBN : 9781646961184
  • Pages : pages

Download or read book NLP Hacks 2 In 1 written by Joseph Sperry and published by . This book was released on 2019-11-27 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Neuro linguistic Programming  NLP  and Mind Hacking 2 in 1

Download or read book Neuro linguistic Programming NLP and Mind Hacking 2 in 1 written by Trafford and published by Little Boy Blue Publishing. This book was released on 2019-08-14 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: Neuro-linguistic Programming (NLP) and Mind Hacking 2 in 1 Bundle The Best Methods, Hacks, Tricks, and Steps for Successful Mind Hacking with NLP Book 1: NLP for Beginners: Mastering Neuro-linguistic Programming; The Best Methods, Tricks, and Steps for Successful Neuro-linguistic Programming (NLP) Do you want to improve the way you lead, sell and influence other people? NLP is a technique that has helped many great leaders become successful, and it can change your life too. There are many ways that the modern day NLP practitioner can use these skills to come out on top. The key to rampant success in life is clear and persuasive communication. Imagine if you had the language techniques that could make you more inspiring, more influential and more impressive! In NLP for Beginners: Mastering Neuro-linguistic Programming, I introduce you to the hypnotic world of NLP. With this simple-to-use guide, you'll be practicing the special language patterns that great men and women have been using, in just a few short hours! In this practical guide you'll discover: Exactly what NLP is and what it can do in your life to make it better How NLP hypnosis works and why it's so powerful Superb examples of NLP language patterns you can practice using Where NLP can be applied to help you get ahead The exercises that will help you rise above any challenge How to advance your own greatness using NLP If you want to master a skill that will take you all the way to the top, then NLP is that skill. Make people listen and hear what you're saying! Technique matters! Here are the most advanced techniques, tips and steps for practicing NLP in today's world. By the end, you'll be wondering why you didn't do this sooner. Be extraordinary! Learn how to influence people with NLP in this guide. Get the guide, and stand out from the crowd! Book 2: Mind Hacking; Learn the Secrets to Change Your Mind to Positivity in 20 Days Mind Hacking Learn the Secrets to Change Your Mind to Positivity in 20 Days Do you find yourself bogged down, held back and plagued by negative thoughts? Mind hacking will help you reprogram your brain to see more positive outcomes, more often!Negative thoughts are like sitting in a dark room with a swarm of bees. Imagine if you could remove the walls, step out into the light of day and benefit from those bees. Suddenly, honey would be everywhere! A positive mind sees more opportunities, and works for your benefit. In Mind Hacking, I want to show you the way your thought patterns work, and how to influence them so that you can break away from always seeing the negative in things. This is the book that teaches you how to harness the power of your own mind, so that you can succeed in life. In this book you'll discover: How focus, attention and concentration make you mentally strong The power of your mind and how to rid yourself of negative thoughts forever The correct way to create an action plan for nurturing a positive mindset The daily habits that keep your positive mind in good health What neuroplasticity is and why it's your best friend How to find other positive minds to lift your success to another level In just 20 days, you'll be able to completely reprogram your brain - switching from limited, negative thoughts to positive, idea-generating thoughts.

Book Practical Natural Language Processing

Download or read book Practical Natural Language Processing written by Sowmya Vajjala and published by O'Reilly Media. This book was released on 2020-06-17 with total page 455 pages. Available in PDF, EPUB and Kindle. Book excerpt: Many books and courses tackle natural language processing (NLP) problems with toy use cases and well-defined datasets. But if you want to build, iterate, and scale NLP systems in a business setting and tailor them for particular industry verticals, this is your guide. Software engineers and data scientists will learn how to navigate the maze of options available at each step of the journey. Through the course of the book, authors Sowmya Vajjala, Bodhisattwa Majumder, Anuj Gupta, and Harshit Surana will guide you through the process of building real-world NLP solutions embedded in larger product setups. You’ll learn how to adapt your solutions for different industry verticals such as healthcare, social media, and retail. With this book, you’ll: Understand the wide spectrum of problem statements, tasks, and solution approaches within NLP Implement and evaluate different NLP applications using machine learning and deep learning methods Fine-tune your NLP solution based on your business problem and industry vertical Evaluate various algorithms and approaches for NLP product tasks, datasets, and stages Produce software solutions following best practices around release, deployment, and DevOps for NLP systems Understand best practices, opportunities, and the roadmap for NLP from a business and product leader’s perspective

Book NLP

    NLP

    Book Details:
  • Author : Tom Hoobyar
  • Publisher : Harper Collins
  • Release : 2013-02-12
  • ISBN : 0062083627
  • Pages : 488 pages

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.

Book Natural Language Processing in Action

Download or read book Natural Language Processing in Action written by Hannes Hapke and published by Simon and Schuster. This book was released on 2019-03-16 with total page 798 pages. Available in PDF, EPUB and Kindle. Book excerpt: Summary Natural Language Processing in Action is your guide to creating machines that understand human language using the power of Python with its ecosystem of packages dedicated to NLP and AI. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology Recent advances in deep learning empower applications to understand text and speech with extreme accuracy. The result? Chatbots that can imitate real people, meaningful resume-to-job matches, superb predictive search, and automatically generated document summaries—all at a low cost. New techniques, along with accessible tools like Keras and TensorFlow, make professional-quality NLP easier than ever before. About the Book Natural Language Processing in Action is your guide to building machines that can read and interpret human language. In it, you'll use readily available Python packages to capture the meaning in text and react accordingly. The book expands traditional NLP approaches to include neural networks, modern deep learning algorithms, and generative techniques as you tackle real-world problems like extracting dates and names, composing text, and answering free-form questions. What's inside Some sentences in this book were written by NLP! Can you guess which ones? Working with Keras, TensorFlow, gensim, and scikit-learn Rule-based and data-based NLP Scalable pipelines About the Reader This book requires a basic understanding of deep learning and intermediate Python skills. About the Author Hobson Lane, Cole Howard, and Hannes Max Hapke are experienced NLP engineers who use these techniques in production. Table of Contents PART 1 - WORDY MACHINES Packets of thought (NLP overview) Build your vocabulary (word tokenization) Math with words (TF-IDF vectors) Finding meaning in word counts (semantic analysis) PART 2 - DEEPER LEARNING (NEURAL NETWORKS) Baby steps with neural networks (perceptrons and backpropagation) Reasoning with word vectors (Word2vec) Getting words in order with convolutional neural networks (CNNs) Loopy (recurrent) neural networks (RNNs) Improving retention with long short-term memory networks Sequence-to-sequence models and attention PART 3 - GETTING REAL (REAL-WORLD NLP CHALLENGES) Information extraction (named entity extraction and question answering) Getting chatty (dialog engines) Scaling up (optimization, parallelization, and batch processing)

Book Nlp  The Best Methods  Tricks  and Steps for Successful Neuro linguistic Programming  Complete Nlp Training to Build Mental Resources and Change Your Habits

Download or read book Nlp The Best Methods Tricks and Steps for Successful Neuro linguistic Programming Complete Nlp Training to Build Mental Resources and Change Your Habits written by Edward Vaknin and published by Edward Vaknin. This book was released on with total page 100 pages. Available in PDF, EPUB and Kindle. Book excerpt: Enough with trying out new routines that never seem to stick. Get down to the deepest level of your programming and create lasting change from the inside out with these simple but extremely powerful tools. Take control of your life today! ….You Will Learn: .What NLP is .What are hypnotic language patterns .Higher level of thinking .Uses of NLP in your personal, professional, and lives, .Strategies to free your skills and how to better manage your feelings instead of being dominated by them .How to release your skills in difficult situations .Effective communication skills ...and much more. What if you knew the tactics and techniques that allowed you to penetrate through your customer’s conscious faculty and reach them on a deep and influential level? What if you knew exactly how to produce the emotional reaction that would cause them to buy? What if you knew how to read your customer’s body language so well that you could lead them to the decision you wanted, with ease?

Book Ace the AWS Certified Machine Learning Specialty  MLS C01  Certification

Download or read book Ace the AWS Certified Machine Learning Specialty MLS C01 Certification written by Etienne Noumen and published by Etienne Noumen. This book was released on with total page 111 pages. Available in PDF, EPUB and Kindle. Book excerpt: Welcome to "Ace the AWS Certified Machine Learning Specialty (MLS-C01) Practice Exams"! This book is designed to help you prepare for the AWS Certified Machine Learning - Specialty (MLS-C01) exam and earn your AWS certification. The AWS Certified Machine Learning - Specialty (MLS-C01) exam is designed for individuals who have a strong understanding of machine learning concepts and techniques, and who can design, build, and deploy machine learning models on the AWS platform. In this book, you will find a series of practice exams that are designed to mimic the format and content of the actual MLS-C01 exam. Each practice exam includes a set of multiple choice and multiple response questions that cover a range of topics, including machine learning concepts, techniques, and algorithms, as well as the AWS services and tools used to build and deploy machine learning models. By working through these practice exams, you can test your knowledge, identify areas where you need further study, and gain confidence in your ability to pass the MLS-C01 exam. Whether you are a machine learning professional looking to earn your AWS certification or a student preparing for a career in machine learning, this book is an essential resource for your exam preparation. AWS has created the Certified Machine Learning Specialty (MLS-C01) to assess your ability to identify and solve business problems through machine learning. Passing this exam validates that you have the skills to design, develop, and deploy machine learning models. The AWS Certified Machine Learning Specialty (MLS-C01) Practice Exams will help you prepare for the exam by providing an in-depth review of the exam's content, and by giving you the opportunity to practice your skills. The book covers: Machine Learning Basics and Advanced Concepts via Q&A, Natural Language Processing Quiz, and SageMaker. The Machine Learning Basics and Advanced Concepts section includes questions on topics such as linear regression, decision trees, boosting, Bayesian inference, and deep learning. The Natural Language Processing Quiz covers questions on topics such as part-of-speech tagging, sentiment analysis, and named entity recognition. The SageMaker section includes questions on how to use SageMaker for data pre-processing, model training and tuning, deploying models into a production environment, and troubleshooting. In addition to the basic and advanced machine learning concepts of the practice exams, there is also a section on Exploratory Data Analysis Quiz covering questions on topics such as data visualization, dimensionality reduction techniques, clustering algorithms, and time series analysis. The Modeling Quiz section includes questions on supervised learning algorithms (linear regression, logistic regression,...), unsupervised learning algorithms (k-means clustering,...), reinforcement learning algorithms (Q-learning,...), and dropout methods. Finally, the Machine Learning Implementation and Operations Quiz covers practical questions on topics such as setting up a development environment for machine learning applications, parameter tuning techniques, monitoring machine learning models in production, and handling errors in machine learning applications. Main Topics: Exam Guide AWS Machine Learning Specialty Practice Quiz AWS Machine Learning Specialty Practice Exam I AWS Machine Learning Specialty Practice Exam II AWS Machine Learning Specialty Practice Exam III Basic Machine Learning Concepts Machine Learning Natural Language Processing (NLP) Quiz I Passed AWS Certify Machine Learning Specialty Testimonials Top 10 Technical Insights for Mastering the AWS Certified Machine Learning Specialty Exam in 2023

Book Cyber Security in Intelligent Computing and Communications

Download or read book Cyber Security in Intelligent Computing and Communications written by Rajeev Agrawal and published by Springer Nature. This book was released on 2022-03-11 with total page 361 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book looks at cyber security challenges with topical advancements in computational intelligence and communication technologies. This book includes invited peer-reviewed chapters on the emerging intelligent computing and communication technology research advancements, experimental outcomes, and cyber security practices, threats, and attacks with challenges. The book begins with a state-of-the-art survey and reviews of cyber security trends and issues. It further covers areas such as developments in intelligent computing and communication, smart healthcare, agriculture, transportation, online education, and many more real-life applications using IoT, big data, cloud computing, artificial intelligence, data science, and machine learning. This book is of interest to graduate/postgraduate students, researchers, and academicians. This book will be a valuable resource for practitioners and professionals working in smart city visualization through secure and intelligent application design, development, deployment to foster digital revolution, and reliable integration of advanced computing and communication technologies with global significance.

Book Advanced Natural Language Processing with TensorFlow 2

Download or read book Advanced Natural Language Processing with TensorFlow 2 written by Ashish Bansal and published by Packt Publishing Ltd. This book was released on 2021-02-04 with total page 381 pages. Available in PDF, EPUB and Kindle. Book excerpt: One-stop solution for NLP practitioners, ML developers, and data scientists to build effective NLP systems that can perform real-world complicated tasks Key FeaturesApply deep learning algorithms and techniques such as BiLSTMS, CRFs, BPE and more using TensorFlow 2Explore applications like text generation, summarization, weakly supervised labelling and moreRead cutting edge material with seminal papers provided in the GitHub repository with full working codeBook Description Recently, there have been tremendous advances in NLP, and we are now moving from research labs into practical applications. This book comes with a perfect blend of both the theoretical and practical aspects of trending and complex NLP techniques. The book is focused on innovative applications in the field of NLP, language generation, and dialogue systems. It helps you apply the concepts of pre-processing text using techniques such as tokenization, parts of speech tagging, and lemmatization using popular libraries such as Stanford NLP and SpaCy. You will build Named Entity Recognition (NER) from scratch using Conditional Random Fields and Viterbi Decoding on top of RNNs. The book covers key emerging areas such as generating text for use in sentence completion and text summarization, bridging images and text by generating captions for images, and managing dialogue aspects of chatbots. You will learn how to apply transfer learning and fine-tuning using TensorFlow 2. Further, it covers practical techniques that can simplify the labelling of textual data. The book also has a working code that is adaptable to your use cases for each tech piece. By the end of the book, you will have an advanced knowledge of the tools, techniques and deep learning architecture used to solve complex NLP problems. What you will learnGrasp important pre-steps in building NLP applications like POS taggingUse transfer and weakly supervised learning using libraries like SnorkelDo sentiment analysis using BERTApply encoder-decoder NN architectures and beam search for summarizing textsUse Transformer models with attention to bring images and text togetherBuild apps that generate captions and answer questions about images using custom TransformersUse advanced TensorFlow techniques like learning rate annealing, custom layers, and custom loss functions to build the latest DeepNLP modelsWho this book is for This is not an introductory book and assumes the reader is familiar with basics of NLP and has fundamental Python skills, as well as basic knowledge of machine learning and undergraduate-level calculus and linear algebra. The readers who can benefit the most from this book include intermediate ML developers who are familiar with the basics of supervised learning and deep learning techniques and professionals who already use TensorFlow/Python for purposes such as data science, ML, research, analysis, etc.

Book How to Analyze People

Download or read book How to Analyze People written by Sean Winter and published by . This book was released on 2020-03-12 with total page 226 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn how to achieve optimum brain capacity and eliminate brain fog without medical treatment, even if your mind is constantly scattered and unfocused. This may surprise you, but weakened cognitive function is not just a common problem for the elderly. Recent studies discovered that the brain actually begins its cognitive decline in our 20s. By the age of 27, most of us will see a deterioration in brain speed, concentration and memory recollection - but with new research, experts have found ways to combat this. This includes two books: Brain Training 101: cutting-edge techniques to retain focus & concentration NLP 2.0 Mastery: How to analyze people. Discover how to read and influence people with proven body language and persuasion methods, even if you are a clueless beginner Here's a short preview of what you'll discover: One-hundred expert-tested hacks you MUST know to achieve optimum brain health (You'll develop razor-sharp cognitive abilities with practice!) The powerful memory-enhancing technique used by world memory champions. Beginner, Intermediate and Advanced visualization techniques to expand your cognitive functions. How to use self-hypnosis to defeat any mental blockage and show your scattered attention who's the real boss. The secrets of body language and how to decipher what people are really saying. The exact formula for acquiring any skill you desire and using it to achieve success. Eight expert tips to resolve any conflict and put an immediate stop to suffering. Five proven NLP methods to INSTANTLY crack the code of someone's mind. (Understand what makes them tick and identify the best way to get what you want!) And much, much more... If you want to access these expert-designed exercises and unleash the power of your brain at peak performance, you should start this book today!

Book Lose Weight with NLP

Download or read book Lose Weight with NLP written by Lindsey Agness and published by Pan Macmillan. This book was released on 2011-01-21 with total page 135 pages. Available in PDF, EPUB and Kindle. Book excerpt: The market is full of 'diet' books that promise to make you thin with the latest breakthrough plan but none of them work in the long term. Lack of willpower, boredom and cravings can sabotage our ability to stick to a diet plan, get thin and stay that way. Lose Weight with NLP focuses instead on changing your relationship with food and giving you back control so you can lose weight and keep it off. Lose Weight with NLP is not a diet plan, not an exercise plan, is simple to follow and achieves results. Whether you are looking to drop a dress size or going for a more dramatic change, you can use the power of NLP to shift that weight. Lindsey Agness helps you develop a healthy mindset, good eating habits and a strong motivation for exercise - the result is a healthier body and sustained, lasting weight loss.

Book The Subliminal Psychology   Psychological Domination Bible

Download or read book The Subliminal Psychology Psychological Domination Bible written by Michael Pace and published by Make Profits Easy LLC. This book was released on 2023-11-04 with total page 269 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unveil the shadowy arts of influence with "The Subliminal Psychology & Psychological Domination Bible" by Michael Pace. This compelling 2-in-1 tome beckons you into the enigmatic world of mind control and alpha dominance, a realm where the hidden forces of persuasion shape destinies and command silent power. "Subliminal Psychology 101" offers a clandestine tour through the psychological undercurrents that govern human behavior. Here, you will master the craft of planting indelible thoughts and guiding actions without leaving a trace. This book isn't just a lesson; it's an arsenal of covert techniques that will elevate your influence in the workplace, in love, and in life's many battlegrounds. When you turn to "Psychological Domination 101," you will awaken the alpha within. No longer will you watch from the shadows as others lead. You'll learn the dark allure of commanding respect with mere presence, bending wills with your words, and securing your status at the pinnacle of the social hierarchy. Together, these volumes are not just books—they are a manifesto for the modern-day Machiavelli, a passport to a world where power plays are made with the subtlety of a whisper, and authority is seized with the certainty of a command. Embrace the thrilling ascent to dominance with "The Subliminal Psychology & Psychological Domination Bible," and leave the ordinary behind.

Book Natural Language Processing with PyTorch

Download or read book Natural Language Processing with PyTorch written by Delip Rao and published by "O'Reilly Media, Inc.". This book was released on 2019-01-22 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: Natural Language Processing (NLP) provides boundless opportunities for solving problems in artificial intelligence, making products such as Amazon Alexa and Google Translate possible. If you’re a developer or data scientist new to NLP and deep learning, this practical guide shows you how to apply these methods using PyTorch, a Python-based deep learning library. Authors Delip Rao and Brian McMahon provide you with a solid grounding in NLP and deep learning algorithms and demonstrate how to use PyTorch to build applications involving rich representations of text specific to the problems you face. Each chapter includes several code examples and illustrations. Explore computational graphs and the supervised learning paradigm Master the basics of the PyTorch optimized tensor manipulation library Get an overview of traditional NLP concepts and methods Learn the basic ideas involved in building neural networks Use embeddings to represent words, sentences, documents, and other features Explore sequence prediction and generate sequence-to-sequence models Learn design patterns for building production NLP systems

Book Computational Analysis and Understanding of Natural Languages  Principles  Methods and Applications

Download or read book Computational Analysis and Understanding of Natural Languages Principles Methods and Applications written by and published by Elsevier. This book was released on 2018-08-27 with total page 537 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational Analysis and Understanding of Natural Languages: Principles, Methods and Applications, Volume 38, the latest release in this monograph that provides a cohesive and integrated exposition of these advances and associated applications, includes new chapters on Linguistics: Core Concepts and Principles, Grammars, Open-Source Libraries, Application Frameworks, Workflow Systems, Mathematical Essentials, Probability, Inference and Prediction Methods, Random Processes, Bayesian Methods, Machine Learning, Artificial Neural Networks for Natural Language Processing, Information Retrieval, Language Core Tasks, Language Understanding Applications, and more. The synergistic confluence of linguistics, statistics, big data, and high-performance computing is the underlying force for the recent and dramatic advances in analyzing and understanding natural languages, hence making this series all the more important. Provides a thorough treatment of open-source libraries, application frameworks and workflow systems for natural language analysis and understanding Presents new chapters on Linguistics: Core Concepts and Principles, Grammars, Open-Source Libraries, Application Frameworks, Workflow Systems, Mathematical Essentials, Probability, and more

Book Semi Supervised Learning and Domain Adaptation in Natural Language Processing

Download or read book Semi Supervised Learning and Domain Adaptation in Natural Language Processing written by Anders Søgaard and published by Springer Nature. This book was released on 2022-05-31 with total page 93 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces basic supervised learning algorithms applicable to natural language processing (NLP) and shows how the performance of these algorithms can often be improved by exploiting the marginal distribution of large amounts of unlabeled data. One reason for that is data sparsity, i.e., the limited amounts of data we have available in NLP. However, in most real-world NLP applications our labeled data is also heavily biased. This book introduces extensions of supervised learning algorithms to cope with data sparsity and different kinds of sampling bias. This book is intended to be both readable by first-year students and interesting to the expert audience. My intention was to introduce what is necessary to appreciate the major challenges we face in contemporary NLP related to data sparsity and sampling bias, without wasting too much time on details about supervised learning algorithms or particular NLP applications. I use text classification, part-of-speech tagging, and dependency parsing as running examples, and limit myself to a small set of cardinal learning algorithms. I have worried less about theoretical guarantees ("this algorithm never does too badly") than about useful rules of thumb ("in this case this algorithm may perform really well"). In NLP, data is so noisy, biased, and non-stationary that few theoretical guarantees can be established and we are typically left with our gut feelings and a catalogue of crazy ideas. I hope this book will provide its readers with both. Throughout the book we include snippets of Python code and empirical evaluations, when relevant.

Book Deep Learning in Natural Language Processing

Download or read book Deep Learning in Natural Language Processing written by Li Deng and published by Springer. This book was released on 2018-05-23 with total page 329 pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent years, deep learning has fundamentally changed the landscapes of a number of areas in artificial intelligence, including speech, vision, natural language, robotics, and game playing. In particular, the striking success of deep learning in a wide variety of natural language processing (NLP) applications has served as a benchmark for the advances in one of the most important tasks in artificial intelligence. This book reviews the state of the art of deep learning research and its successful applications to major NLP tasks, including speech recognition and understanding, dialogue systems, lexical analysis, parsing, knowledge graphs, machine translation, question answering, sentiment analysis, social computing, and natural language generation from images. Outlining and analyzing various research frontiers of NLP in the deep learning era, it features self-contained, comprehensive chapters written by leading researchers in the field. A glossary of technical terms and commonly used acronyms in the intersection of deep learning and NLP is also provided. The book appeals to advanced undergraduate and graduate students, post-doctoral researchers, lecturers and industrial researchers, as well as anyone interested in deep learning and natural language processing.

Book Data Protection and Privacy

    Book Details:
  • Author : Dara Hallinan
  • Publisher : Bloomsbury Publishing
  • Release : 2021-01-28
  • ISBN : 1509941762
  • Pages : 320 pages

Download or read book Data Protection and Privacy written by Dara Hallinan and published by Bloomsbury Publishing. This book was released on 2021-01-28 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book brings together papers that offer conceptual analyses, highlight issues, propose solutions, and discuss practices regarding privacy, data protection and Artificial Intelligence. It is one of the results of the thirteenth annual International Conference on Computers, Privacy and Data Protection (CPDP) held in Brussels in January 2020. The development and deployment of Artificial Intelligence promises significant break-throughs in how humans use data and information to understand and interact with the world. The technology, however, also raises significant concerns. In particular, concerns are raised as to how Artificial Intelligence will impact fundamental rights. This interdisciplinary book has been written at a time when the scale and impact of data processing on society – on individuals as well as on social systems – is becoming ever starker. It discusses open issues as well as daring and prospective approaches and is an insightful resource for readers with an interest in computers, privacy and data protection.