Use custom datasets to develop your own AI applications!

Developing AI Applications An Introduction

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Print edition E-book Bundle
402 pages, , Print edition paperback
ISBN 978-1-4932-2601-6
402 pages,
E-book formats: EPUB, PDF, online
ISBN 978-1-4932-2602-3
402 pages, , Print edition paperback
E-book formats: EPUB, PDF, online
ISBN 978-1-4932-2603-0
It’s time to get practical about AI. Move past playing around with chatbots and plugging your data into others’ applications—learn how to create your own! Walk through key AI methods like decision trees, convolutional layers, cluster analysis, and more. Get your hands dirty with simple no-code exercises and then apply that knowledge to more complex (but still beginner-friendly!) examples. With information on installing KNIME and using tools like AutoKeras, ChatGPT, and DALL-E, this guide will let you do more with AI!
  • Learn to program your own AI applications—even if you’ve never coded before!
  • Get started without code using the KNIME platform and then expand your skills by programming with basic Python
  • Work with neural networks, transfer learning, anomaly detection, reinforcement learning, and more
About the Book About the E-book 402 pages, paperback, .83 in. Including sample data, code, and Jupyter notebooks. Reference book format 7 x 10 in. Printed black and white on 60# offset paper from sustainable sources. Reader-friendly serif font (TheAntiquaB 9.5 Pt.). One-column layout. E-book in full color. PDF (59 MB) and EPUB (17 MB) files for download, DRM-free with personalized digital watermark. Copy and paste, bookmarks, and print-out permitted. Table of contents, in-text references, and index fully linked. Including online book edition in dedicated reader application.

In this book, you'll learn about:

  1. AI Algorithms

    Understand the theory and structure behind the most useful AI models and methods and how they can be used to solve problems. Learn about artificial neural networks, anomaly detections, cluster analysis, text and image classification, reinforcement learning, and other algorithms.

  2. Tools and Platforms

    Install and use AI platforms like KNIME and Anaconda. See how tools like ChatGPT and libraries like XGBoost can enhance your AI applications.

  3. Practical Exercises

    Get step-by-step instructions for creating AI applications, whether you’re implementing them with no code on the KNIME platform or programming them using basic Python.

Highlights include:

  • Python
  • ChatGPT
  • DALL-E
  • Artificial neural networks (ANN)
  • Decision trees
  • Convolutional layers
  • Transfer learning
  • Anomaly detection
  • Text and image classification
  • Cluster analysis
  • Reinforcement learning

Metin Karatas is an electrical and information technology engineer. He was the first person to teach AI when it was established as a subject in Bavarian schools and he’s a member of the AI curriculum commission in Bavaria.

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