Natural Language Processing in Action (ePub)
Understanding, analyzing, and generating text with Python
(Sprache: Englisch)
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...
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...
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Produktinformationen zu „Natural Language Processing in Action (ePub)“
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 summariesall 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
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
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 summariesall 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
- Packets of thought (NLP overview)
- Build your vocabulary (word tokenization)
- Math with words (TF-IDF vectors)
- Finding meaning in word counts (semantic analysis)
- 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
- Information extraction (named entity extraction and question answering)
- Getting chatty (dialog engines)
- Scaling up (optimization, parallelization, and batch processing)
PART 1 - WORDY MACHINES
PART 2 - DEEPER LEARNING (NEURAL NETWORKS)
PART 3 - GETTING REAL (REAL-WORLD NLP CHALLENGES)
Autoren-Porträt von Hannes Hapke, Cole Howard, Hobson Lane
Hannes Hapke is an Electrical Engineer turned Data Scientist with experience in deep learning.Cole Howard is a carpenter and writer turned Deep Learning expert.
Hobson Lane is a data scientist and machine learning engineer. He has over twenty years experience building autonomous systems and NLP pipelines for both large corporations and startups. Currently, Hobson is an instructor at UCSD Extension and Springboard, and the CTO and cofounder of Tangible AI and ProAI.org.
Bibliographische Angaben
- Autoren: Hannes Hapke , Cole Howard , Hobson Lane
- 2019, 544 Seiten, Englisch
- Verlag: Simon + Schuster LLC
- ISBN-10: 1638356890
- ISBN-13: 9781638356899
- Erscheinungsdatum: 16.03.2019
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
eBook Informationen
- Dateiformat: ePub
- Größe: 6.75 MB
- Mit Kopierschutz
- Vorlesefunktion
Sprache:
Englisch
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