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Python Artificial Intelligence Projects for Beginners
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Python Artificial Intelligence Projects for Beginners
By:
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)
Title Page
Packt Upsell
Contributors
Preface
Free Chapter
Building Your Own Prediction Models
Prediction with Random Forests
Applications for Comment Classification
Neural Networks
Deep Learning
Other Books You May Enjoy
Index
Customer Reviews