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Artificial Intelligence with Python Cookbook

Artificial Intelligence with Python Cookbook

By : Kumar, Ben Auffarth
4.9 (7)
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Artificial Intelligence with Python Cookbook

Artificial Intelligence with Python Cookbook

4.9 (7)
By: Kumar, 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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Simulating the spread of a disease

Pandemics such as smallpox, tuberculosis, and the Black Death have affected the human population significantly throughout history. As of 2020, Covid-19 is spreading through populations all over the world, and the politics and economics of getting the virus under control with little casualties have been widely discussed.

Regarding Covid-19, to libertarians, Sweden was, for some time, the poster child for how you didn't need a lockdown, although secondary factors such as having a high proportion of single-person households and a cultural tendency to social distance weren't taken into account. Recently, fatalities in Sweden have been on the rise, and its per capita rate is one of the highest recorded (https://www.worldometers.info/coronavirus/).

In the UK, the initial response was to rely on herd immunity, and the lockdown was declared only weeks after other countries had already imposed it. The National Health Service (NHS) were using makeshift...

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