Book Image

Hands-On Artificial Intelligence with Java for Beginners

By : Nisheeth Joshi
Book Image

Hands-On Artificial Intelligence with Java for Beginners

By: Nisheeth Joshi

Overview of this book

Artificial intelligence (AI) is increasingly in demand as well as relevant in the modern world, where everything is driven by technology and data. AI can be used for automating systems or processes to carry out complex tasks and functions in order to achieve optimal performance and productivity. Hands-On Artificial Intelligence with Java for Beginners begins by introducing you to AI concepts and algorithms. You will learn about various Java-based libraries and frameworks that can be used in implementing AI to build smart applications. In addition to this, the book teaches you how to implement easy to complex AI tasks, such as genetic programming, heuristic searches, reinforcement learning, neural networks, and segmentation, all with a practical approach. By the end of this book, you will not only have a solid grasp of AI concepts, but you'll also be able to build your own smart applications for multiple domains.
Table of Contents (14 chapters)
Title Page
Copyright and Credits
Packt Upsell
Contributors
Preface
Index

Appendix 1. Other Books You May Enjoy

If you enjoyed this book, you may be interested in these other books by Packt:

Java Deep Learning Projects Md. Rezaul Karim

ISBN: 978-1-78899-745-4

  • Master deep learning and neural network architectures
  • Build real-life applications covering image classification, object detection, online trading, transfer learning, and multimedia analytics using DL4J and open-source APIs
  • Train ML agents to learn from data using deep reinforcement learning
  • Use factorization machines for advanced movie recommendations
  • Train DL models on distributed GPUs for faster deep learning with Spark and DL4J
  • Ease your learning experience through 69 FAQs

Artificial Intelligence for Big Data Anand Deshpande, Manish Kumar

ISBN: 978-1-78847-217-3

  • Manage Artificial Intelligence techniques for big data with Java
  • Build smart systems to analyze data for enhanced customer experience
  • Learn to use Artificial Intelligence frameworks for big data
  • Understand complex problems with algorithms and Neuro-Fuzzy systems
  • Design stratagems to leverage data using Machine Learning process
  • Apply Deep Learning techniques to prepare data for modeling
  • Construct models that learn from data using open source tools
  • Analyze big data problems using scalable Machine Learning algorithms