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)

Chatting to users

In 1966, Joseph Weizenbaum published an article about his chatbot ELIZA, called ELIZA—a computer program for the study of natural language communication between man and machine. Created with a sense of humor to show the limitations of technology, the chatbot employed simplistic rules and vague, open-ended questions as a way of giving an impression of empathic understanding in the conversation, and was in an ironic twist often seen as a milestone of artificial intelligence. The field has moved on, and today, AI assistants are around us: you might have an Alexa, a Google Echo, or any of the other commercial home assistants in the market.

In this recipe, we'll be building an AI assistant. The difficulty with this is that there are an infinite amount of ways for people to express themselves and that it is simply impossible to anticipate everything your users might say. In this recipe, we'll be training a model to infer what they want and we'll respond...