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Hands-On Artificial Intelligence with Java for Beginners: Build intelligent apps using machine learning and deep learning with Deeplearning4j
Hands-On Artificial Intelligence with Java for Beginners: Build intelligent apps using machine learning and deep learning with Deeplearning4j

Build, train, and deploy intelligent applications using Java libraries

Key Features

  • Leverage the power of Java libraries to build smart applications
  • Build and train deep learning models for implementing artificial intelligence
  • Learn various algorithms to...
Python Deep Learning Projects: 9 projects demystifying neural network and deep learning models for building intelligent systems
Python Deep Learning Projects: 9 projects demystifying neural network and deep learning models for building intelligent systems

Insightful projects to master deep learning and neural network architectures using Python and Keras

Key Features

  • Explore deep learning across computer vision, natural language processing (NLP), and image processing
  • Discover best practices for the training of deep neural...
Deep Learning for Computer Vision: Expert techniques to train advanced neural networks using TensorFlow and Keras
Deep Learning for Computer Vision: Expert techniques to train advanced neural networks using TensorFlow and Keras

Learn how to model and train advanced neural networks to implement a variety of Computer Vision tasks

Key Features

  • Train different kinds of deep learning model from scratch to solve specific problems in Computer Vision
  • Combine the power of Python, Keras, and TensorFlow to...
Hands-On Natural Language Processing with Python: A practical guide to applying deep learning architectures to your NLP applications
Hands-On Natural Language Processing with Python: A practical guide to applying deep learning architectures to your NLP applications

Foster your NLP applications with the help of deep learning, NLTK, and TensorFlow

Key Features

  • Weave neural networks into linguistic applications across various platforms
  • Perform NLP tasks and train its models using NLTK and TensorFlow
  • Boost your NLP...
Semantic Computing
Semantic Computing

Presents the state of the technology and points to future directions for semantic computing

Semantic computing, a rapidly evolving interdisciplinary field, seeks to structure, design, and manipulate computer content to better satisfy the needs and intentions of users and create a more meaningful user experience. This...

NLTK Essentials
NLTK Essentials

Build cool NLP and machine learning applications using NLTK and other Python libraries

About This Book

  • Extract information from unstructured data using NLTK to solve NLP problems
  • Analyse linguistic structures in text and learn the concept of semantic analysis and parsing
  • ...
Practical Machine Learning
Practical Machine Learning

About This Book

  • Fully-coded working examples using a wide range of machine learning libraries and tools, including Python, R, Julia, and Spark
  • Comprehensive practical solutions taking you into the future of machine learning
  • Go a step further and integrate your machine learning projects with...
Trustworthy Compilers (Quantitative Software Engineering Series)
Trustworthy Compilers (Quantitative Software Engineering Series)

The Most Complete, Real-World Guide to Compiler

Development—and the Principles of Trustworthy Compilers

Drawing on the author's over thirty years of expertise in compiler development, research, and instruction, Trustworthy Compilers introduces and analyzes the concept of trustworthy compilers and the principles...

Data Model Patterns: A Metadata Map (The Morgan Kaufmann Series in Data Management Systems)
Data Model Patterns: A Metadata Map (The Morgan Kaufmann Series in Data Management Systems)
A very ambitious undertaking, masterfully described. To the best of my knowledge, this is the first published version of the detailed models implied by the Zachman Framework. David Hay builds the models one step at a time, describing in each increment why the new entities were added, and how they related to the rest of the model. At least as...
Developing Java Web Services: Architecting and Developing Secure Web Services Using Java
Developing Java Web Services: Architecting and Developing Secure Web Services Using Java
"I commend this book to you as your springboard to the future of how to make the Net work."
-from the Foreword by Simon Phipps, Chief Technology Evangelist, Sun Microsystems, Inc.

This hands-on developer's guide to Web services prepares you for the next level of distributed computing. The authors clearly show
...
REST in Practice: Hypermedia and Systems Architecture
REST in Practice: Hypermedia and Systems Architecture

Why don't typical enterprise projects go as smoothly as projects you develop for the Web? Does the REST architectural style really present a viable alternative for building distributed systems and enterprise-class applications?

In this insightful book, three SOA experts provide a down-to-earth explanation of REST and...

GeoSpatial Semantics: 4th International Conference, GeoS 2011, Brest, France, May 12-13, 2011
GeoSpatial Semantics: 4th International Conference, GeoS 2011, Brest, France, May 12-13, 2011

The fourth edition of the International Conference on Geospatial Semantics (GeoS 2011) was held in Brest, France, during May 12–13, 2011.

Geospatial semantics (GEOS) is an emerging research area in the domain of geographic information science. It aims at exploring strategies, computational methods, and tools to support...

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