Αρχική / Θετικές Επιστήμες / Τεχνητή Νοημοσύνη / Why Machines Learn: The Elegant Maths Behind Modern AI

Why Machines Learn: The Elegant Maths Behind Modern AI

ΣΥΓΓΡΑΦΕΑΣ
Τιμή
37,70 €
41,90 € -10%
ΣΥΝΤΟΜΑ ΠΑΛΙ ΔΙΑΘΕΣΙΜΟ

Προσθήκη στα αγαπημένα

'An invaluable companion for anyone who wants a deep understanding of what’s under the hood of often inscrutable machines' Melanie Mitchell

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 discoveries in chemistry, biology and physics - the study of genomes, extra-solar planets, even the intricacies of quantum systems.

We are living through a revolution in artificial intelligence that is not slowing down. This major shift is based on simple mathematics, some of which goes back centuries: linear algebra and calculus, the stuff of eighteenth-century mathematics. Indeed by the mid-1850s, a lot of the groundwork was all done. It took the development of computer science and the kindling of 1990s computer chips designed for video games to ignite the explosion of AI that we see all around us today. In this enlightening book, Anil Ananthaswamy explains the fundamental maths behind AI, which suggests that the basics of natural and artificial intelligence might follow the same mathematical rules.

As Ananthaswamy resonantly concludes, to make the most of our most wondrous technologies we need to understand their profound limitations - the clues lie in the maths that makes AI possible.

Συγγραφέας: Ananthaswamy Anil
Εκδότης: ALLEN LANE
Σελίδες: 480
ISBN: 9780241586488
Εξώφυλλο: Σκληρό Εξώφυλλο
Αριθμός Έκδοσης: 1
Έτος έκδοσης: 2024

Anil Ananthaswamy is an award-winning journalist and former staff writer and deputy news editor for the London-based New Scientist magazine. He has been a guest editor for the science writing program at the University of California, Santa Cruz, and organizes and teaches an annual science journalism workshop at the National Centre for Biological Sciences in Bengaluru, India. He is a freelance feature editor for the Proceedings of the National Academy of Science’s Front Matter. He contributes regularly to the New Scientist, and has also written for Nature, Nautilus, Matter, The Wall Street Journal, National Geographic News, and the UK’s Literary Review. His first book, The Edge of Physics, was voted book of the year in 2010 by Physics World, and his second book, The Man Who Wasn’t There, won a Nautilus Book Award in 2015 and was long-listed for the 2016 Pen/E. O. Wilson Literary Science Writing Award.

Σας προτείνουμε

Newsletter

Εγγραφείτε στο newsletter για να λαμβάνετε πρώτοι τις νέες κυκλοφορίες και τις προσφορές μας
Ο λογαριασμός σας Τα αγαπημένας σας