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)

Visualizing model results

Frequent communication with business shareholders is key to getting the buy-in for deploying an AI solution, and should start from the idea and premises to decisions and findings. How results are communicated can make the difference between success and failure in a commercial setting. In this recipe, we'll be building a visualization solution for a machine learning (ML) model.

Getting ready

We'll be building our solution in streamlit ( and we'll be using visualizations from altair, one of the many Python plotting libraries that streamlit integrates with (a list that also includes matplotlib and plotly). Let's install streamlit and altair:

pip install streamlit altair

We won't use the notebook in this recipe. Therefore, we've omitted the exclamation marks in this code block. We'll be running everything from the terminal.

Altair has a very pleasant declarative way to plot graphs, which we'll see...