Learn IT - Books tags nlp

Python Deep Learning: Exploring deep learning techniques and neural network architectures with PyTorch, Keras, and TensorFlow, 2nd Edition

Packt Publishing, 2019

Learn advanced state-of-the-art deep learning techniques and their applications using popular Python libraries

Key Features

Build a strong foundation in neural networks and deep learning with Python libraries

Explore advanced deep learning techniques and their applications...

Mastering TensorFlow 1.x: Advanced machine learning and deep learning concepts using TensorFlow 1.x and Keras

Packt Publishing, 2018

Build, scale, and deploy deep neural network models using the star libraries in Python

Key Features

Delve into advanced machine learning and deep learning use cases using Tensorflow and Keras

Build, deploy, and scale end-to-end deep neural network models in a production...

Reinforcement Learning with TensorFlow: A beginner's guide to designing self-learning systems with TensorFlow and OpenAI Gym

Packt Publishing, 2018

Leverage the power of reinforcement learning techniques to develop self-learning systems using TensorFlow

Key Features

Explore reinforcement learning concepts and their implementation using TensorFlow

Discover different problem-solving methods for reinforcement...

Artificial Intelligence By Example: Develop machine intelligence from scratch using real artificial intelligence use cases

Packt Publishing, 2018

Be an adaptive thinker that leads the way to Artificial Intelligence

Key Features

AI-based examples to guide you in designing and implementing machine intelligence

Develop your own method for future AI solutions

Acquire advanced AI, machine learning, and...

Artificial Intelligence for Big Data: Complete guide to automating Big Data solutions using Artificial Intelligence techniques

Packt Publishing, 2018

Build next-generation artificial intelligence systems with Java

Key Features

Implement AI techniques to build smart applications using Deeplearning4j

Perform big data analytics to derive quality insights using Spark MLlib

Create self-learning systems using...

Natural Language Annotation for Machine Learning

O'Reilly, 2012

This book is intended as a resource for people who are interested in using computers to help process natural language. A natural language refers to any language spoken by humans, either currently (e.g., English, Chinese, Spanish) or in the past (e.g., Latin, ancient Greek, Sanskrit). Annotation refers to the process...

Natural Language Processing with TensorFlow: Teach language to machines using Python's deep learning library

Packt Publishing, 2018

Write modern natural language processing applications using deep learning algorithms and TensorFlow

Key Features

Focuses on more efficient natural language processing using TensorFlow

Covers NLP as a field in its own right to improve understanding for choosing TensorFlow...

2nd EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing: BDCC 2019 (EAI/Springer Innovations in Communication and Computing)

Springer, 2020

This proceeding features papers discussing big data innovation for sustainable cognitive computing. The papers feature details on cognitive computing and its self-learning systems that use data mining, pattern recognition and natural language processing (NLP) to mirror the way the human brain works. This international conference...

Python 3 Text Processing with NLTK 3 Cookbook

Packt Publishing, 2014

Over 80 practical recipes on natural language processing techniques using Python's NLTK 3.0

About This Book

Break text down into its component parts for spelling correction, feature extraction, and phrase transformation

Learn how to do custom sentiment analysis and named entity...

Python: Beginner's Guide to Artificial Intelligence: Build applications to intelligently interact with the world around you using Python

Packt Publishing, 2018

Develop real-world applications powered by the latest advances in intelligent systems

Key Features

Gain real-world contextualization using deep learning problems concerning research and application

Get to know the best practices to improve and optimize your machine...

Artificial Companion for Second Language Conversation: Chatbots Support Practice Using Conversation Analysis

Springer, 2019

The research described in this book shows that conversation analysis can effectively model dialogue. Specifically, this work shows that the multidisciplinary field of communicative ICALL may greatly benefit from including Conversation Analysis. As a consequence, this research makes several contributions to the related research...

Build Android-Based Smart Applications: Using Rules Engines, NLP and Automation Frameworks

Apress, 2017

Build smart applications using cutting-edge technologies such as rules engines, code automation frameworks, and natural language processing (NLP). This book provides step-by-step instructions on how to port nine rules engines (CLIPS, JRuleEngine, DTRules, Zilonis, TermWare, Roolie, OpenRules, JxBRE, and JEOPS) to the Android...

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