Why Machines Learn
The Elegant Math Behind Modern AI
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Narrated by:
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Rene Ruiz
About this listen
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 tumor 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 artificial 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.
PLEASE NOTE: When you purchase this title, the accompanying PDF will be available in your Audible Library along with the audio.
©2024 Anil Ananthaswamy (P)2024 Penguin AudioListeners also enjoyed...
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Critic reviews
“An inspiring introduction to the mathematics of AI.”—Arthur I. Miller, author of The Artist in the Machine: The World of AI-Powered Creativity
“Some books about the development of neural networks describe the underlying mathematics while others describe the social history. This book presents the mathematics in the context of the social history. It is a masterpiece. The author is very good at explaining the mathematics in a way that makes it available to people with only a rudimentary knowledge of the field, but he is also a very good writer who brings the social history to life.”—Geoffrey Hinton, deep learning pioneer, Turing Award winner, former VP at Google, and Professor Emeritus at University of Toronto
“After just a few minutes of reading Why Machines Learn, you’ll feel your own synaptic weights getting updated. By the end you will have achieved your own version of deep learning—with deep pleasure and insight along the way.”—Steven Strogatz, New York Times bestselling author of Infinite Powers and professor of mathematics at Cornell University
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Welcome to the Universe is a personal guided tour of the cosmos by three of today's leading astrophysicists. Inspired by the enormously popular introductory astronomy course that Neil deGrasse Tyson, Michael A. Strauss, and J. Richard Gott taught together at Princeton, this book covers it all - from planets, stars, and galaxies to black holes, wormholes, and time travel.
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All About What We Know About the Universe - ALL
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Reentry
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From launchpad explosions to a pernicious cricket infestation to the demanding management style of Musk himself, the rise of SpaceX was beset with challenges and far from inevitable. Find out how the startup beat the odds and flew high enough to outpace their rivals... and where they're going next.
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Appreciated the engineering details
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Inspired
- How to Create Tech Products Customers Love, Second Edition
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How do today's most successful tech companies - Amazon, Google, Facebook, Netflix, Tesla - design, develop, and deploy the products that have earned the love of literally billions of people around the world? Perhaps surprisingly, they do it very differently from the vast majority of tech companies. In Inspired, technology product management thought leader Marty Cagan provides listeners with a master class in how to structure and staff a vibrant and successful product organization and how to discover and deliver technology products that your customers will love.
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Great book, terrible audio wanted to ask a refund
- By Srikanth Ramanujam on 11-15-18
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The Butchering Art
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- Narrated by: Ralph Lister
- Length: 7 hrs and 54 mins
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In The Butchering Art, the historian Lindsey Fitzharris reveals the shocking world of 19th-century surgery on the eve of profound transformation. She conjures up early operating theaters - no place for the squeamish - and surgeons, working before anesthesia, who were lauded for their speed and brute strength. They were baffled by the persistent infections that kept mortality rates stubbornly high. A young, melancholy Quaker surgeon named Joseph Lister would solve the deadly riddle and change the course of history.
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Not one boring moment!
- By WRWF on 12-22-17
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Cosmic Queries
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- By: James Trefil, Lindsey N. Walker - editor, Neil deGrasse Tyson
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In this illuminating audiobook, Tyson and coauthor James Trefil, a renowned physicist and science popularizer, take on the big questions that humanity has been posing for millennia - How did life begin? What is our place in the universe? Are we alone? - and provide answers based on the most current data, observations, and theories.
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Not worth it
- By Daniel Earl on 03-15-21
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Ranger Confidential
- Living, Working, and Dying in the National Parks
- By: Andrea Lankford
- Narrated by: Julia Motyka
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The real stories behind the scenery of America’s national parks. For 12 years, Andrea Lankford lived in the biggest, most impressive national parks in the world, working a job she loved. She chaperoned baby sea turtles on their journey to sea. She pursued bad guys on her galloping patrol horse. She jumped into rescue helicopters bound for the heart of the Grand Canyon. She won arguments with bears. She slept with a few too many rattlesnakes. Hell yeah, it was the best job in the world! Fortunately, Andrea survived it.
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Depressing from Cover to Cover
- By Drew (@drewsant) on 04-13-15
By: Andrea Lankford
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victory lap
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great intro book marred by poor narration
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Are you ready to master the future? In today's world, artificial intelligence isn't just science fiction anymore; it's the key to transforming your reality. Are you feeling the pressure to stay ahead in the AI revolution? Don't let anxiety and unease about AI govern your destiny. Take control and keep listening.
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Using AI in many areas
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Artificial Intelligence
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In ten short and informative essays, Professor of AI at University College London, Tim Rocktäschel, reveals everything we need to know about artificial intelligence. From what the futures holds for AI and why it continues to improve with more data, to how superhuman AI is attainable and why we still have to fold our own laundry, discover all of this and much, much more!
What listeners say about Why Machines Learn
Average customer ratingsReviews - Please select the tabs below to change the source of reviews.
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- Sameer D.
- 11-07-24
A great listen, but a physical book is pre appropriate
I enjoyed all the technical details and history. When the times came to look at a pdf, I wish I also had the physical copy.
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- Steve
- 11-04-24
Totally inappropriate for audio
This is a technical book with many equations and graphs. It should never have been converted to audio. It may very well be a fine book to read but it is not suited for listening unless you want to sit in front of a computer and look at the associated pdf file while listening - not for me. Wish I could return.
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