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)

Appendix 1. Other Books You May Enjoy

If you enjoyed this book, you may be interested in these other books by Packt:

Artificial Intelligence By Example Denis Rothman

ISBN: 9781788990547

  • Use adaptive thinking to solve real-life AI case studies
  • Rise beyond being a modern-day factory code worker
  • Acquire advanced AI, machine learning, and deep learning designing skills
  • Learn about cognitive NLP chatbots, quantum computing, and IoT and blockchain technology
  • Understand future AI solutions and adapt quickly to them
  • Develop out-of-the-box thinking to face any challenge the market presents

Artificial Intelligence with Python Prateek Joshi

ISBN: 9781786464392

  • Realize different classification and regression techniques
  • Understand the concept of clustering and how to use it to automatically segment data
  • See how to build an intelligent recommender system
  • Understand logic programming and how to use it
  • Build automatic speech recognition systems
  • Understand the basics of heuristic search and genetic programming
  • Develop games using Artificial Intelligence
  • Learn how reinforcement learning works
  • Discover how to build intelligent applications centered on images, text, and time series data
  • See how to use deep learning algorithms and build applications based on it