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Author: Hannes Hapke
Publisher: Simon and Schuster
ISBN: 1638356890
Category : Computers
Languages : en
Pages : 798
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Book Description
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)
Author: Michael Hough
Publisher: Psychology Press
ISBN: 9780415298551
Category : Architecture
Languages : en
Pages : 314
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Book Description
An updated and revised discussion of the fundamental conflict in the perception of nature and an expression of the essential need for an environmental view when approaching urban design.
Author: Sergey M. Govorushko
Publisher: Springer Science & Business Media
ISBN: 9400714246
Category : Nature
Languages : en
Pages : 672
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Book Description
This highly topical book comes at a time when the two-way relationship between humankind and the environment is moving inexorably to the top of the agenda. It covers both sides of this delicate balancing act, explaining how various natural processes influence humanity, including its economic activities and engineering structures, while also illuminating the ways in which human activity puts pressure on the natural environment. Chapters analyze a varied selection of phenomena that directly affect people’s lives, from geological processes such as earthquakes and tsunamis to cosmic events such as magnetic storms. The author moves on to consider the effect we have on nature, ranging from the impact of heavy industry to the environmental consequences of sport and recreational pastimes. Complete with maps, photographs and detailed case studies, this book provides a comprehensive overview of the biggest issue we face as a species—the way we relate to the natural world around us. This book includes more than 100 maps showing the global distribution of different natural processes/human activities and more that 450 photographs from many countries and all oceans. It will provide a valuable resource for both graduate students and researchers in many fields of knowledge. Sergey Govorushko is a chief research scholar at the Pacific Geographical Institute, Russian Academy of Sciences. He is also Professor at the Far Eastern Federal University (Vladivostok). Sergey Govorushko received his PhD from the Institute of Geography, Russian Academy of Sciences. His research activities focus on the interaction between humanity and the environment, including the impact of nature on humanity; the impact of humanity on the environment; and assessment of the interaction (environmental impact assessment, environmental audit, etc.). He has authored eight and co-authored seven monographs.
Author: Hannes Hapke
Publisher: Simon and Schuster
ISBN: 1638356890
Category : Computers
Languages : en
Pages : 798
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Book Description
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)
Author: Saeid Mokhatab
Publisher: Elsevier
ISBN: 0080466974
Category : Technology & Engineering
Languages : en
Pages : 672
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Book Description
Handbook of Natural Gas Transmission and Processing gives engineers and managers complete coverage of natural gas transmission and processing in the most rapidly growing sector to the petroleum industry. The authors provide a unique discussion of new technologies that are energy efficient and environmentally appealing at the same time. It is an invaluable reference on natural gas engineering and the latest techniques for all engineers and managers moving to natural gas processing as well as those currently working on natural gas projects. - Provides practicing engineers critical information on all aspects of gas gathering, processing and transmission - First book that treats multiphase flow transmission in great detail - Examines natural gas energy costs and pricing with the aim of delivering on the goals of efficiency, quality and profit
Author: Christopher Manning
Publisher: MIT Press
ISBN: 0262303795
Category : Language Arts & Disciplines
Languages : en
Pages : 719
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Book Description
Statistical approaches to processing natural language text have become dominant in recent years. This foundational text is the first comprehensive introduction to statistical natural language processing (NLP) to appear. The book contains all the theory and algorithms needed for building NLP tools. It provides broad but rigorous coverage of mathematical and linguistic foundations, as well as detailed discussion of statistical methods, allowing students and researchers to construct their own implementations. The book covers collocation finding, word sense disambiguation, probabilistic parsing, information retrieval, and other applications.
Author: Michael Hough
Publisher: Psychology Press
ISBN: 9780415298544
Category : Architecture
Languages : en
Pages : 316
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Book Description
This key book is a revised and updated discussion of the fundamental conflict in the perception of nature, and an expression of the essential need for an environmental view when approaching urban design. Whilst retaining the existing structure, each of the chapters has been revised to take into account recent theoretical and practical developments. A completely new concluding chapter has been added which draws together the themes of the volume and links these to broader landscape issues such as greenway systems, landscape ecology and green infrastructure.
Author: Bernadette Sharp
Publisher: Elsevier
ISBN: 008102343X
Category : Computers
Languages : en
Pages : 236
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Book Description
As natural language processing spans many different disciplines, it is sometimes difficult to understand the contributions and the challenges that each of them presents. This book explores the special relationship between natural language processing and cognitive science, and the contribution of computer science to these two fields. It is based on the recent research papers submitted at the international workshops of Natural Language and Cognitive Science (NLPCS) which was launched in 2004 in an effort to bring together natural language researchers, computer scientists, and cognitive and linguistic scientists to collaborate together and advance research in natural language processing. The chapters cover areas related to language understanding, language generation, word association, word sense disambiguation, word predictability, text production and authorship attribution. This book will be relevant to students and researchers interested in the interdisciplinary nature of language processing. - Discusses the problems and issues that researchers face, providing an opportunity for developers of NLP systems to learn from cognitive scientists, cognitive linguistics and neurolinguistics - Provides a valuable opportunity to link the study of natural language processing to the understanding of the cognitive processes of the brain
Author: Hobson Lane
Publisher: Manning
ISBN: 9781617299445
Category : Computers
Languages : en
Pages : 550
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Book Description
Develop your NLP skills from scratch! This revised bestseller now includes coverage of the latest Python packages, Transformers, the HuggingFace packages, and chatbot frameworks. Natural Language Processing in Action has helped thousands of data scientists build machines that understand human language. In this new and revised edition, you’ll discover state-of-the art NLP models like BERT and HuggingFace transformers, popular open-source frameworks for chatbots, and more. As you go, you’ll create projects that can detect fake news, filter spam, and even answer your questions, all built with Python and its ecosystem of data tools. Natural Language Processing in Action, Second Edition is your guide to building software that can read and interpret human language. This new edition is updated to include the latest Python packages and comes with full coverage of cutting-edge models like BERT, GPT-J and HuggingFace transformers. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.
Author: Peter A. White
Publisher: Routledge
ISBN: 1315473550
Category : Psychology
Languages : en
Pages : 579
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Book Description
The research literature on causal attribution and social cognition generally consists of many fascinating but fragmented and superficial phenomena. These can only be understood as an organised whole by elucidating the fundamental psychological assumptions on which they depend. Originally published in 1993, Psychological Metaphysics is an exploration of the most basic and important assumptions in the psychological construction of reality, with the aim of showing what they are, how they originate, and what they are there for. Peter A. White proposes that people basically understand causation in terms of stable, specific powers of things operating to produce effects under suitable conditions. This underpins an analysis of people’s understanding of causal processes in the physical word and of human action, which makes a radical break with the Heiderian tradition. Psychological Metaphysics suggests that causal attribution is in the service of the person’s practical concerns and any interest in accuracy or understanding is subservient to this. A notion of regularity in the world is of no more than minor importance in causal attribution, and social cognition is not so much a matter of cognitive mechanisms or processes but more of cultural ways of thinking imposed upon tacit, unquestioned, universal assumptions. Psychological Metaphysics incorporates not only research and theory in social cognition and developmental psychology, but also philosophy and the history of ideas. It will be challenging to everyone interested in how we try to understand the world.
Author: Jacob Eisenstein
Publisher: MIT Press
ISBN: 0262042843
Category : Computers
Languages : en
Pages : 535
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Book Description
A survey of computational methods for understanding, generating, and manipulating human language, which offers a synthesis of classical representations and algorithms with contemporary machine learning techniques. This textbook provides a technical perspective on natural language processing—methods for building computer software that understands, generates, and manipulates human language. It emphasizes contemporary data-driven approaches, focusing on techniques from supervised and unsupervised machine learning. The first section establishes a foundation in machine learning by building a set of tools that will be used throughout the book and applying them to word-based textual analysis. The second section introduces structured representations of language, including sequences, trees, and graphs. The third section explores different approaches to the representation and analysis of linguistic meaning, ranging from formal logic to neural word embeddings. The final section offers chapter-length treatments of three transformative applications of natural language processing: information extraction, machine translation, and text generation. End-of-chapter exercises include both paper-and-pencil analysis and software implementation. The text synthesizes and distills a broad and diverse research literature, linking contemporary machine learning techniques with the field's linguistic and computational foundations. It is suitable for use in advanced undergraduate and graduate-level courses and as a reference for software engineers and data scientists. Readers should have a background in computer programming and college-level mathematics. After mastering the material presented, students will have the technical skill to build and analyze novel natural language processing systems and to understand the latest research in the field.
