Designing Intelligent Systems

ebook Frameworks for Modern Applications · O7.0 TRANSFORM INFORMATION TECHNOLOGY

By Elizabeth Mogopodi

cover image of Designing Intelligent Systems

Sign up to save your library

With an OverDrive account, you can save your favorite libraries for at-a-glance information about availability. Find out more about OverDrive accounts.

   Not today

Find this title in Libby, the library reading app by OverDrive.

Download Libby on the App Store Download Libby on Google Play

Search for a digital library with this title

Title found at these libraries:

Library Name Distance
Loading...

Designing Intelligent Systems: Frameworks for Modern Applications" is a comprehensive guide to developing innovative intelligent systems. This ebook provides expert insights, real-world examples, and practical advice for developers, engineers, and researchers seeking to build modern applications.

Discover how to:

  • Understand the fundamentals of intelligent systems, including machine learning, deep learning, and cognitive architectures
  • Apply modern frameworks and techniques for designing and developing intelligent systems, including natural language processing, computer vision, and robotics
  • Integrate intelligent systems with emerging technologies, such as IoT, blockchain, and edge computing, to create innovative applications
  • Develop and implement effective intelligent system strategies, including data preparation, model selection, and result interpretation
  • This ebook covers key topics such as:

  • Introduction to intelligent systems: fundamentals, frameworks, and applications
  • Machine learning and deep learning: techniques, tools, and applications
  • Cognitive architectures and natural language processing: principles, models, and applications
  • Computer vision and robotics: techniques, tools, and applications
  • Emerging trends and future directions: IoT, blockchain, edge computing, and more
  • This ebook is divided into four parts:

  • Introduction to Intelligent Systems
  • Machine Learning and Deep Learning
  • Cognitive Architectures and Natural Language Processing
  • Emerging Trends and Future Directions
  • Designing Intelligent Systems