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Python Artificial Intelligence Projects for Beginners, published by Packt

License: MIT License

Jupyter Notebook 99.53% Python 0.46% R 0.01%

python-artificial-intelligence-projects-for-beginners's Introduction

Python Artificial Intelligence Projects for Beginners

Python Artificial Intelligence Projects for Beginners

This is the code repository for Python Artificial Intelligence Projects for Beginners, published by Packt.

Get up and running with Artificial Intelligence using 8 smart and exciting AI applications

What is this book about?

Artificial Intelligence (AI) is the newest technology that’s being employed among varied businesses, industries, and sectors. Python Artificial Intelligence Projects for Beginners demonstrates AI projects in Python, covering modern techniques that make up the world of Artificial Intelligence.

This book covers the following exciting features: <First 5 What you'll learn points>

  • Build a prediction model using decision trees and random forest
  • Use neural networks, decision trees, and random forests for classification
  • Detect YouTube comment spam with a bag-of-words and random forests
  • Identify handwritten mathematical symbols with convolutional neural networks
  • Revise the bird species identifier to use images

If you feel this book is for you, get your copy today!

https://www.packtpub.com/

Instructions and Navigations

All of the code is organized into folders. For example, Chapter02.

Following is what you need for this book: Python Artificial Intelligence Projects for Beginners is for Python developers who want to take their first step into the world of Artificial Intelligence using easy-to-follow projects. Basic working knowledge of Python programming is expected so that you’re able to play around with code.

With the following software and hardware list you can run all code files present in the book (Chapter 1-5).

Software and Hardware List

Chapter Software required OS required
1 - 5 Python 3.4 or later A Windows 7+, macOS, 10.10+, or Linux-based computer with 4 GB RAM or above

We also provide a PDF file that has color images of the screenshots/diagrams used in this book. Click here to download it.

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Get to Know the Author(s)

Joshua Eckroth -- Dr. Joshua Eckroth is assistant professor of computer science at Stetson University, where he teaches artificial intelligence (AI), big data mining and analytics, and software engineering. He earned his PhD from The Ohio State University in AI and cognitive science. Dr. Eckroth also serves as Chief Architect at i2k Connect, which focuses on transforming documents into structured data using AI and enriched with subject matter expertise.

Other books by the authors

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