Book Image

Artificial Intelligence with Python Cookbook

By : Ben Auffarth
Book Image

Artificial Intelligence with Python Cookbook

By: Ben Auffarth

Overview of this book

Artificial intelligence (AI) plays an integral role in automating problem-solving. This involves predicting and classifying data and training agents to execute tasks successfully. This book will teach you how to solve complex problems with the help of independent and insightful recipes ranging from the essentials to advanced methods that have just come out of research. Artificial Intelligence with Python Cookbook starts by showing you how to set up your Python environment and taking you through the fundamentals of data exploration. Moving ahead, you’ll be able to implement heuristic search techniques and genetic algorithms. In addition to this, you'll apply probabilistic models, constraint optimization, and reinforcement learning. As you advance through the book, you'll build deep learning models for text, images, video, and audio, and then delve into algorithmic bias, style transfer, music generation, and AI use cases in the healthcare and insurance industries. Throughout the book, you’ll learn about a variety of tools for problem-solving and gain the knowledge needed to effectively approach complex problems. By the end of this book on AI, you will have the skills you need to write AI and machine learning algorithms, test them, and deploy them for production.
Table of Contents (13 chapters)
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If you enjoyed this book, you may be interested in these other books by Packt:

Hands-On Artificial Intelligence for Banking
Jeffrey Ng , Subhash Shah

ISBN: 978-1-78883-078-2

Learn how to clean your data and ready it for analysis

  • Implement data preprocessing steps and optimize model hyperparameters
  • Work with large amounts of data using distributed and parallel computing techniques
  • Get to grips with representational learning from images using InfoGAN
  • Delve into deep probabilistic modeling with a Bayesian network
  • Create your own artwork using adversarial neural networks
  • Understand a model’s key performance characteristics and bring solutions to production as APIs
  • Go from proof to production covering data loading and visualization as well as modeling and deployment as microservices

Artificial Intelligence with Python - Second Edition