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)

Finding the shortest bus route

Finding the shortest bus route implies finding a path that connects points (bus stops) on a map. This is an instance of the traveling salesman problem. In this recipe, we'll approach the problem of finding the shortest bus route with different algorithms, including simulated annealing and ant colony optimization.

Getting ready

Apart from standard dependencies such as scipy and numpy, which we always rely on, we'll be using the scikit-opt library, which implements many different algorithms for swarm intelligence.

Swarm intelligence is the collective behavior of decentralized, self-organized systems that leads to the emergence of apparent intelligence in the eyes of an observer. This concept is used in work based on artificial intelligence. Natural systems, such as ant colonies, bird flocking, hawks hunting, animal herding, and bacterial growth, display a certain level of intelligence at the global level, even though ants, birds, and hawks typically...