Hands-On-Artificial-Intelligence-with-Java-for-Beginners

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Hands-On-Artificial-Intelligence-with-Java-for-Beginners

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Hands-On Artificial Intelligence with Java for Beginners, published by Packt

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# Hands-On Artificial Intelligence with Java for Beginners

This is the code repository for [Hands-On Artificial Intelligence with Java for Beginners](https://www.packtpub.com/big-data-and-business-intelligence/hands-artificial-intelligence-java-beginners?utm_source=github&utm_medium=repository&utm_campaign=9781789537550), published by Packt.

**Build intelligent apps using machine learning and deep learning with Deeplearning4j**

## What is this book about?
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.

This book covers the following exciting features:
* Leverage different Java packages and tools such as Weka, RapidMiner, and Deeplearning4j, among others
* Build machine learning models using supervised and unsupervised machine learning techniques
* Implement different deep learning algorithms in Deeplearning4j and build applications based on them
* Study the basics of heuristic searching and genetic programming
* Differentiate between syntactic and semantic similarity among texts

If you feel this book is for you, get your [copy](https://www.amazon.com/dp/178953755X) today!

## Instructions and Navigations
All of the code is organized into folders. For example, Chapter02.

The code will look like the following:
```
Remove rmv = new Remove();
rmv.setOptions(op);
```

**Following is what you need for this book:**
Hands-On Artificial Intelligence with Java for Beginners is for Java developers who want to learn the fundamentals of artificial intelligence and extend their programming knowledge to build smarter applications.

With the following software and hardware list you can run all code files present in the book (Chapter 1-7).

### Software and Hardware List

| Chapter  | Software required                   | OS required                        |
| -------- | ------------------------------------| -----------------------------------|
| 1-7      | NetBeans 8.2, Weka 3.8, SWI-Prolog 7.2-7.6                   | Windows, Mac OS X, and Linux (Any) |

### Related products <Paste books from the Other books you may enjoy sect ion>
* Java Deep Learning Projects [[Packt]](https://www.packtpub.com/big-data-and-business-intelligence/java-deep-learning-projects?utm_source=github&utm_medium=repository&utm_campaign=9781788997454) [[Amazon]](https://www.amazon.com/dp/178899745X)

* Artificial Intelligence for Big Data [[Packt]](https://www.packtpub.com/big-data-and-business-intelligence/artificial-intelligence-big-data?utm_source=github&utm_medium=repository&utm_campaign=9781788472173) [[Amazon]](https://www.amazon.com/dp/1788472179)

## Get to Know the Author
**Nisheeth Joshi** 
is an associate professor and a researcher at Banasthali University. He has also done a PhD in Natural Language Processing. He is an expert with the TDIL Program, Department of IT, Government of India, the premier organization overseeing language technology funding and research in India. He has several publications to his name in various journals and conferences, and also serves on the program committees and editorial boards of several conferences and journals.
 
## Other books by the author
* [Mastering Natural Language Processing with Python](https://www.packtpub.com/big-data-and-business-intelligence/mastering-natural-language-processing-python?utm_source=github&utm_medium=repository&utm_campaign=9781783989041)
* [Natural Language Processing: Python and NLTK](https://www.packtpub.com/big-data-and-business-intelligence/natural-language-processing-python-and-nltk?utm_source=github&utm_medium=repository&utm_campaign=9781787285101)

### Suggestions and Feedback
[Click here](https://docs.google.com/forms/d/e/1FAIpQLSdy7dATC6QmEL81FIUuymZ0Wy9vH1jHkvpY57OiMeKGqib_Ow/viewform) if you have any feedback or suggestions.
### Download a free PDF

If you have already purchased a print or Kindle version of this book, you can get a DRM-free PDF version at no cost. Simply click on the link to claim your free PDF.
 <a href="https://packt.link/free-ebook/9781789537550">https://packt.link/free-ebook/9781789537550 </a>

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