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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“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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Astrophysicist Neil deGrasse Tyson has attracted one of the world’s largest online followings with his fascinating, widely accessible insights into science and our universe. Now, Tyson invites us to go behind the scenes of his public fame by unveiling his candid correspondence with people across the globe who have sought him out in search of answers. In this hand-picked collection of 100 letters, Tyson draws upon cosmic perspectives to address a vast array of questions about science, faith, philosophy, life, and of course, Pluto.
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Dear Neil...
- By Tina G. on 10-14-19
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Napoleon's Hemorrhoids…And Other Small Events That Changed History
- By: Phil Mason
- Narrated by: LJ Ganser
- Length: 8 hrs and 13 mins
- Unabridged
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Hilarious, fascinating, and a roller coaster of dizzying, historical what-ifs, Napoleon's Hemorrhoids is a potpourri for serious historians and casual history buffs. In one of Phil Mason's many revelations, you'll learn that Communist jets were two minutes away from opening fire on American planes during the Cuban missile crisis, when they had to turn back as they were running out of fuel. You'll discover that before the Battle of Waterloo, Napoleon's painful hemorrhoids prevented him from mounting his horse to survey the battlefield.
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They just throw the facts too fast
- By Concerned_llama on 12-11-20
By: Phil Mason
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Plant Science: An Introduction to Botany
- By: Catherine Kleier, The Great Courses
- Narrated by: Catherine Kleier
- Length: 12 hrs and 13 mins
- Original Recording
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Dr. Catherine Kleier invites us to open our eyes to the phenomenal world of plant life and to the process she calls “Natura Revelata”, the joy of celebrating and learning from the secrets of nature. As Dr. Kleier shares her knowledge with contagious excitement for her subject, she emphasizes the middle ground: Instead of focusing on cell microbiology or the study of ecosystems and habitats, she stresses the basic biology, function, and the amazing adaptations of the plants we see all around us.
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Needs accompanying documentation and visual aides
- By Ryan on 04-04-19
By: Catherine Kleier, and others
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Cosmic Queries
- StarTalk’s Guide to Who We Are, How We Got Here, and Where We’re Going
- By: James Trefil, Lindsey N. Walker - editor, Neil deGrasse Tyson
- Narrated by: Neil deGrasse Tyson, Lauren Fortgang
- Length: 6 hrs and 18 mins
- Unabridged
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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
By: James Trefil, and others
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The Theory of Everything: The Quest to Explain All Reality
- By: Don Lincoln, The Great Courses
- Narrated by: Don Lincoln
- Length: 12 hrs and 21 mins
- Original Recording
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At the end of his career, Albert Einstein was pursuing a dream far more ambitious than the theory of relativity. He was trying to find an equation that explained all physical reality - a theory of everything. Experimental physicist and award-winning educator Dr. Don Lincoln takes you on this exciting journey in The Theory of Everything: The Quest to Explain All Reality. Suitable for the intellectually curious at all levels and assuming no background beyond basic high-school math, these 24 half-hour lectures cover recent developments at the forefront of particle physics and cosmology.
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Audible’s Best Science Offering, A Gem
- By MikeB on 12-08-18
By: Don Lincoln, and others
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The Quantum Universe
- (And Why Anything That Can Happen, Does)
- By: Brian Cox, Jeff Forshaw
- Narrated by: Samuel West
- Length: 8 hrs and 28 mins
- Unabridged
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Overall
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Performance
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Story
In The Quantum Universe, Brian Cox and Jeff Forshaw approach the world of quantum mechanics in the same way they did in Why Does E=mc2? and make fundamental scientific principles accessible - and fascinating - to everyone.The subatomic realm has a reputation for weirdness, spawning any number of profound misunderstandings, journeys into Eastern mysticism, and woolly pronouncements on the interconnectedness of all things. Cox and Forshaw's contention? There is no need for quantum mechanics to be viewed this way.
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Not suitable as an audio book
- By SPN on 03-29-22
By: Brian Cox, and others
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Perfect introduction to machine, learning, and artificial intelligence for any programmer!
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I highly recommend Deep Utopia
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Not a Casual Read, Substantial
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Physics ain't for wussies!
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Bernoulli's Fallacy
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Co-Intelligence
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Something new entered our world in November 2022—the first general purpose AI that could pass for a human and do the kinds of creative, innovative work that only humans could do previously. Wharton professor Ethan Mollick immediately understood what ChatGPT meant: after millions of years on our own, humans had developed a kind of co-intelligence that could augment, or even replace, human thinking. Through his writing, speaking, and teaching, Mollick has become one of the most prominent and provocative explainers of AI.
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A Brief History of Intelligence
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Equal parts Sapiens, Behave, and Superintelligence, but wholly original in scope, A Brief History of Intelligence offers a paradigm shift for how we understand neuroscience and AI. Artificial intelligence entrepreneur Max Bennett chronicles the five “breakthroughs” in the evolution of human intelligence and reveals what brains of the past can tell us about the AI of tomorrow.
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Flawed fundamental assumptions, good function rvw
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Confused about AI and worried about what it means for your future and the future of the world? You’re not alone. AI is everywhere—and few things are surrounded by so much hype, misinformation, and misunderstanding. In AI Snake Oil, computer scientists Arvind Narayanan and Sayash Kapoor cut through the confusion to give you an essential understanding of how AI works, why it often doesn’t, where it might be useful or harmful, and when you should suspect that companies are using AI hype to sell AI snake oil—products that don’t work, and probably never will.
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Basic level information nothing new here
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Artificial Intelligence
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In Artificial Intelligence, Mitchell turns to the most urgent questions concerning AI today: How intelligent - really - are the best AI programs? How do they work? What can they actually do, and when do they fail? How humanlike do we expect them to become, and how soon do we need to worry about them surpassing us? Along the way, she introduces the dominant methods of modern AI and machine learning, describing cutting-edge AI programs, their human inventors, and the historical lines of thought that led to recent achievements.
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Start understanding AI right here!
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The Singularity Is Nearer
- When We Merge with AI
- By: Ray Kurzweil
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- Unabridged
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Since it was first published in 2005, Ray Kurzweil's The Singularity Is Near and its vision of the future have been influential in spawning a worldwide movement with millions of followers, hundreds of books, major films, and thousands of articles. During the succeeding decade, many of Kurzweil's predictions about technological advancements have been borne out, and their viability has become familiar to the public through such now commonplace concepts. In this entirely new book Ray Kurzweil brings a fresh perspective to advances in the singularity.
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victory lap
- By Anonymous User on 06-30-24
By: Ray Kurzweil
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Do No Harm: The People Who Amputate Their Perfectly Healthy Limbs, and the Doctors Who Help Them
- By: Anil Ananthaswamy
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- Unabridged
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Overall
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Performance
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Story
All his life, David has been afflicted by a strange and uncomfortable feeling: that his leg belongs to somebody else. It's left him angst-ridden, depressed and confused - and after years of torment, the only way he can think to is to get rid of it completely. In this disturbing, award-winning investigation from the science and technology publisher MATTER, acclaimed writer Anil Ananthaswamy delves accompanies one man as he travels the world to get the illicit surgery he craves.
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Very interesting.
- By MomToAGenius on 12-05-23
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Neural Networks for Beginners
- An Easy Textbook for Machine Learning Fundamentals to Guide You Implementing Neural Networks with Python and Deep Learning (Artificial Intelligence)
- By: Russel R. Russo
- Narrated by: Zachary Zaba
- Length: 3 hrs and 6 mins
- Unabridged
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Overall
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Performance
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Story
Either if you want to start your own AI enterprise, to empower your business or to work in the greatest and most innovative companies, Artificial Intelligence is the future, and neural networks programming is the skill you want to have. The good news is that there is no exclusive club, you can easily (if you commit, of course) learn how to program and use neural networks, and to do that Neural Networks for Beginners is the perfect way.
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Horrible, a waste of money
- By Paul_Seattle on 04-06-21
By: Russel R. Russo
What listeners say about Why Machines Learn
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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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