Book Image

Python Artificial Intelligence Projects for Beginners

By : Dr. Joshua Eckroth
Book Image

Python Artificial Intelligence Projects for Beginners

By: Dr. Joshua Eckroth

Overview of this book

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 begins with helping you to build your first prediction model using the popular Python library, scikit-learn. You will understand how to build a classifier using an effective machine learning technique, random forest, and decision trees. With exciting projects on predicting bird species, analyzing student performance data, song genre identification, and spam detection, you will learn the fundamentals and various algorithms and techniques that foster the development of these smart applications. In the concluding chapters, you will also understand deep learning and neural network mechanisms through these projects with the help of the Keras library. By the end of this book, you will be confident in building your own AI projects with Python and be ready to take on more advanced projects as you progress
Table of Contents (11 chapters)

Summary


In this chapter, we covered a brief introduction to neural networks, proceeded with feed-forward neural networks, and looked at a program to identify the genre of a song with neural networks. Finally, we revised our spam detector from earlier to make it work with neural networks.

In the next chapter, we'll look at deep learning and learn about convolutional neural networks.