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Python Artificial Intelligence Projects for Beginners

More Information
Learn
  • 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
  • Learn to detect positive and negative sentiment in user reviews
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 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

Features
  • Explore a variety of AI projects with Python
  • Get well-versed with different types of neural networks and popular deep learning algorithms
  • Leverage popular Python deep learning libraries for your AI projects
Page Count 162
Course Length 4 hours 51 minutes
ISBN9781789539462
Date Of Publication 30 Jul 2018

Authors

Dr. 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.

Dr. Eckroth has previously published two video series with Packt, Python Artificial Intelligence Projects for Beginners and Advanced Artificial Intelligence Projects with Python. His academic publications may be found on Google Scholar.