Error loading page.
Try refreshing the page. If that doesn't work, there may be a network issue, and you can use our self test page to see what's preventing the page from loading.
Learn more about possible network issues or contact support for more help.
Title details for Why Machines Learn by Anil Ananthaswamy - Available

Why Machines Learn

by Anil Ananthaswamy
Rene Ruiz
Audiobook (Includes supplementary content)
Listen to a sample Listen to a sample
A rich, narrative explanation of the mathematics that has brought us machine learning and the ongoing explosion of artificial intelligence
Machine learning systems are making life-altering decisions for us: approving mortgage loans, determining whether a tumour is cancerous, or deciding whether someone gets bail. They now influence developments and discoveries in chemistry, biology, and physics—the study of genomes, extra-solar planets, even the intricacies of quantum systems. And all this before large language models such as ChatGPT came on the scene.
We are living through a revolution in machine learning-powered AI that shows no signs of slowing down. This technology is based on relatively simple mathematical ideas, some of which go back centuries, including linear algebra and calculus, the stuff of seventeenth- and eighteenth-century mathematics. It took the birth and advancement of computer science and the kindling of 1990s computer chips designed for video games to ignite the explosion of AI that we see today. In this enlightening book, Anil Ananthaswamy explains the fundamental math behind machine learning, while suggesting intriguing links between artifical and natural intelligence. Might the same math underpin them both?
As Ananthaswamy resonantly concludes, to make safe and effective use of artificial intelligence, we need to understand its profound capabilities and limitations, the clues to which lie in the math that makes machine learning possible.
*This audiobook contains a PDF of equations, graphs, and illustrations.

Formats

  • OverDrive Listen audiobook

subjects

Languages

  • English
OverDrive provides additional information that is consistent with the intended mission of the NIH Library. The U.S. Government and the National Institutes of Health (NIH) cannot attest to the accuracy of any non-federal website. Linking to a non-NIH site does not constitute an endorsement by NIH or any of its employees of the sponsors or the information and products presented on the site nor is it a guarantee of privacy. The views and opinions of authors expressed on this website do not necessarily state or reflect those of the U.S. Government and the NIH, and they may not be used for advertising or product endorsement purposes.