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)

Making decisions based on knowledge

When a lot of background knowledge is available about a topic, why not use it when making decisions? This is called a knowledge-based system. Inference engines in expert systems and unification, as done in logic solvers, are examples of this.

Another way to retrieve knowledge when making decisions is based on representing knowledge in a graph. Every node in the graph represents a concept, while every edge represents a relationship. Both can be embedded and represented as numerical features that express their location with respect to the other elements of the graph.

In this recipe, we'll go through two examples for each of these possibilities.

From Aristotle to Linnaeus to today's mathematicians and physicists, people have tried to put order into the world by categorizing objects into a systematic order, called taxonomy. Mathematically, taxonomies are expressed as graphs, which represent information as tuples (s, o), in that subject s which...