Book Image

Artificial Intelligence with Python - Second Edition

By : Prateek Joshi
Book Image

Artificial Intelligence with Python - Second Edition

By: Prateek Joshi

Overview of this book

Artificial Intelligence with Python, Second Edition is an updated and expanded version of the bestselling guide to artificial intelligence using the latest version of Python 3.x. Not only does it provide you an introduction to artificial intelligence, this new edition goes further by giving you the tools you need to explore the amazing world of intelligent apps and create your own applications. This edition also includes seven new chapters on more advanced concepts of Artificial Intelligence, including fundamental use cases of AI; machine learning data pipelines; feature selection and feature engineering; AI on the cloud; the basics of chatbots; RNNs and DL models; and AI and Big Data. Finally, this new edition explores various real-world scenarios and teaches you how to apply relevant AI algorithms to a wide swath of problems, starting with the most basic AI concepts and progressively building from there to solve more difficult challenges so that by the end, you will have gained a solid understanding of, and when best to use, these many artificial intelligence techniques.
Table of Contents (26 chapters)
24
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25
Index

The five tribes of machine learning

Machine learning can be further classified in a variety of ways. One of our favorite classifications is the one provided by Pedro Domingos in his book The Master Algorithm. In his book, he classifies machine learning by the field of science that sprouted the ideas. For example, genetic algorithms sprouted from Biology concepts. Here are the full classifications, the name Domingos uses for the tribes, and the dominant algorithms used by each tribe, along with noteworthy proponents:

Tribe Origins Dominant algorithm Proponents

Symbolists

Logic and Philosophy

Inverse deduction

Tom Mitchell

Steve Muggleton

Ross Quinlan

Connectionists

Neuroscience

...