The-Applied-Artificial-Intelligence-Workshop

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The-Applied-Artificial-Intelligence-Workshop

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# The Applied Artificial Intelligence Workshop
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This is the repository for The [Applied Artificial Intelligence Workshop](https://www.amazon.com/Applied-Artificial-Intelligence-Workshop-decision-ebook/dp/B08BZS3X9S/ref=sr_1_1?dchild=1&keywords=the%20applied%20artificial%20intelligence%20workshop&qid=1610708393&sr=8-1&utm_source=github&utm_medium=repository&utm_campaign=9781800205819&utm_term=Applied%20Aritificial%20Intelligence&utm_content=The%20Applied%20Aritificial%20Intelligence%20Workshop), published by [Packt](https://www.packtpub.com/?utm_source=github). It contains all the supporting project files necessary to work through the course from start to finish.

## Requirements and Setup
<a href="https://www.amazon.com/Applied-Artificial-Intelligence-Workshop-decision-ebook/dp/B08BZS3X9S/ref=sr_1_1?dchild=1&keywords=the%20applied%20artificial%20intelligence%20workshop&qid=1610708393&sr=8-1&utm_source=github&utm_medium=repository&utm_campaign=9781800205819&utm_term=Applied%20Aritificial%20Intelligence&utm_content=The%20Applied%20Aritificial%20Intelligence%20Workshop"><img src="https://github.com/PacktWorkshops/Workshop-Covers/blob/master/B16060_The%20Applied%20Artificial%20Intelligence%20Workshop.png" alt="The Applied Artificial Intelligence Workshop" height="290px" width="230px" align="right" this.target="_blank"></a>

To get started with the project files, you'll need to:
1. Setup [The Jupyter Notebook](https://jupyter.readthedocs.io/en/latest/install.html)

## About The Applied Artificial Intelligence Workshop
[The Applied Artificial Intelligence Workshop](https://www.amazon.com/Applied-Artificial-Intelligence-Workshop-decision-ebook/dp/B08BZS3X9S/ref=sr_1_1?dchild=1&keywords=the%20applied%20artificial%20intelligence%20workshop&qid=1610708393&sr=8-1&utm_source=github&utm_medium=repository&utm_campaign=9781800205819&utm_term=Applied%20Aritificial%20Intelligence&utm_content=The%20Applied%20Aritificial%20Intelligence%20Workshop) teaches you the ins and outs of machine learning and neural networks from the ground up, using real-world examples. You'll learn to develop AI and ML models using Python, starting with using the minmax algorithm and alpha-beta pruning to create your first game, and ending with classifying images using neural networks.

## What you will learn
* Create your first AI game in Python with the minimax algorithm
* Implement regression techniques to simplify real-world data
* Experiment with classification techniques to label real-world data
* Perform predictive analysis in Python using decision trees and random forests
* Use clustering algorithms to group data without manual support 
* Understand how to use neural networks to process and classify labeled images

## Related Workshops
If you've found this repository useful, you might want to check out some of our other workshop titles:
* [The Natural Language Processing Workshop](https://www.amazon.com/Natural-Language-Processing-Workshop-understand/dp/1800208421/ref=tmm_pap_swatch_0?_encoding=UTF8&qid=1611057842&sr=8-1&utm_source=github&utm_medium=repository&utm_campaign=9781801077811&utm_term=Natural%20Language%20Processing&utm_content=The%20Natural%20Language%20Processing%20Workshop)
* [The Computer Vision Workshop](https://www.amazon.com/Computer-Vision-Workshop-algorithms-intelligence-dp-180020177X/dp/180020177X/ref=mt_other?_encoding=UTF8&me=&qid=1611064944&utm_source=github&utm_medium=repository&utm_campaign=9781800201774&utm_term=Computer%20Vision&utm_content=The%20Computer%20Vision%20Workshop)
* [The Machine Learning Workshop](https://www.amazon.com/Machine-Learning-Workshop-high-performance-scikit-learn/dp/1839219068/ref=tmm_pap_swatch_0?_encoding=UTF8&qid=1611061956&sr=1-1&utm_source=github&utm_medium=repository&utm_campaign=9781801070065&utm_term=Machine%20Learning&utm_content=The%20Machine%20Learning%20Workshop)

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