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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Chemistry and Our Universe: How It All Works is your in-depth introduction to this vital field, taught through 60 engaging half-hour lectures that are suitable for any background or none at all. Covering a year’s worth of introductory general chemistry at the college level, plus intriguing topics that are rarely discussed in the classroom, this amazingly comprehensive course requires nothing more advanced than high-school math. Your guide is Professor Ron B. Davis, Jr., a research chemist and award-winning teacher at Georgetown University.
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Great Professor, Hard to Follow.
- By Jen on 05-14-19
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Inspired
- How to Create Tech Products Customers Love, Second Edition
- By: Marty Cagan
- Narrated by: Marty Cagan
- Length: 7 hrs and 45 mins
- Unabridged
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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
By: Marty Cagan
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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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Reentry
- SpaceX, Elon Musk, and the Reusable Rockets That Launched a Second Space Age
- By: Eric Berger
- Narrated by: Rob Shapiro
- Length: 12 hrs and 59 mins
- Unabridged
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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
- By Will on 10-19-24
By: Eric Berger
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The Butchering Art
- Joseph Lister's Quest to Transform the Grisly World of Victorian Medicine
- By: Lindsey Fitzharris
- Narrated by: Ralph Lister
- Length: 7 hrs and 54 mins
- Unabridged
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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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Naked Statistics
- Stripping the Dread from the Data
- By: Charles Wheelan
- Narrated by: Jonathan Davis
- Length: 10 hrs and 48 mins
- Unabridged
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Overall
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Performance
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From batting averages and political polls to game shows and medical research, the real-world application of statistics continues to grow by leaps and bounds. How can we catch schools that cheat on standardized tests? How does Netflix know which movies you'll like? What is causing the rising incidence of autism? As best-selling author Charles Wheelan shows us in Naked Statistics, the right data and a few well-chosen statistical tools can help us answer these questions and more.
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Starts well then becomes non-Audible
- By Michael on 09-07-13
By: Charles Wheelan
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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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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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Artificial Intelligence
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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
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Machine Learning for Absolute Beginners Third Edition has been written and designed for absolute beginners. This means plain-English explanations and no coding experience required.
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Text read does not match the book
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Co-Intelligence
- Living and Working with AI
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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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great intro book marred by poor narration
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Generative Artificial Intelligence for Beginners
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- By: Gwen Taylor
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Are you curious about AI but overwhelmed by tech jargon? Are you wondering how AI could revolutionize your daily life or business but unsure where to start? Are you intimidated by the rapid advancements in AI technology? You're in the right place. This guide is crafted for anyone eager to dive into AI, from complete novices to those with a tech background. It provides a clear, jargon-free introduction to Generative AI.
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Seems AI generated
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ChatGPT and the Future of AI
- The Deep Language Revolution
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In ChatGPT and the Future of AI, the sequel to The Deep Learning Revolution, Terrence Sejnowski offers a nuanced exploration of large language models (LLMs) like ChatGPT and what their future holds. How should we go about understanding LLMs? Do these language models truly understand what they are saying? Or is it possible that what appears to be intelligence in LLMs may be a mirror that merely reflects the intelligence of the interviewer? In this book, Sejnowski answers all our urgent questions about this astonishing new technology.
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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