
The Master Algorithm
How the Quest for the Ultimate Learning Machine Will Remake Our World
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Narrado por:
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Mel Foster
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De:
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Pedro Domingos
Acerca de esta escucha
Under the aegis of machine learning in our data-driven machine age, computers are programming themselves and learning about - and solving - an extraordinary range of problems, from the mundane to the most daunting. Today it is machine learning programs that enable Amazon and Netflix to predict what users will like, Apple to power Siri's ability to understand voices, and Google to pilot cars. These programs are already helping us fight the war on cancer and predict the movements of the stock market, and they are making great headway with instant language translation and discovering new laws of nature.
But machine learning is incomplete, and its practitioners across the globe are seeking the most powerful algorithm of all. The Master Algorithm will not be limited to solving particular problems but will be able to learn anything and solve any problem, however difficult, and Pedro Domingos, a trailblazing computer scientist, is at the very forefront of the search for it. With the Master Algorithm in hand and data as its fuel, machine learning - essentially the automation of discovery, a kind of scientific method on steroids - will become the most powerful technology humanity has ever devised. And The Master Algorithm will be its bible.
©2015 Pedro Domingos (P)2015 Brilliance Audio, Inc.Los oyentes también disfrutaron...
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- De: Peter H. Diamandis, Steven Kotler
- Narrado por: Peter H. Diamandis
- Duración: 9 h y 53 m
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In their book Abundance, best-selling authors and futurists Peter Diamandis and Steven Kotler tackled grand global challenges, such as poverty, hunger, and energy. Then, in Bold, they chronicled the use of exponential technologies that allowed the emergence of powerful new entrepreneurs. Now the best-selling authors are back with The Future Is Faster Than You Think, a blueprint for how our world will change in response to the next 10 years of rapid technological disruption.
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Totally Mixed on This One
- De D. Sooley en 02-03-20
De: Peter H. Diamandis, y otros
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The Essentials of AI Deep Learning and Neural Networks
- Beginner's Guide to Understanding Machine Learning and Building Advanced AI Skills in Minutes a Day
- De: Jordan Blake
- Narrado por: Susan Prater
- Duración: 4 h y 23 m
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Unlock the Secrets of AI Deep Learning and Neural Networks: Empower Your Future in Minutes a Day! Ready to dive into the world of artificial intelligence, but don’t know where to start? Whether you're a student, developer, or curious learner, this book takes you on a journey to master deep learning concepts, demystify neural networks, and transform your skills into real-world impact—all at your own pace.
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The Essentials of AI
- De HSNPUBLISHING en 04-15-25
De: Jordan Blake
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Zero to One
- Notes on Startups, or How to Build the Future
- De: Peter Thiel, Blake Masters
- Narrado por: Blake Masters
- Duración: 4 h y 50 m
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The great secret of our time is that there are still uncharted frontiers to explore and new inventions to create. In Zero to One, legendary entrepreneur and investor Peter Thiel shows how we can find singular ways to create those new things.
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Seems Insightful Until You Think A Little Deeper
- De Mark Brandon en 10-31-14
De: Peter Thiel, y otros
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AI 2041
- Ten Visions for Our Future
- De: Kai-Fu Lee, Chen Qiufan
- Narrado por: Feodor Chin, Justin Chien, Soneela Nankani, y otros
- Duración: 18 h y 4 m
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AI will be the defining development of the 21st century. Within two decades, aspects of daily human life will be unrecognizable. AI will generate unprecedented wealth, revolutionize medicine and education through human-machine symbiosis, and create brand-new forms of communication and entertainment. In liberating us from routine work, however, AI will also challenge the organizing principles of our economic and social order.
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Good concept, poor execution
- De Amazon Customer en 12-08-21
De: Kai-Fu Lee, y otros
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The Deep Learning Revolution
- De: Terrence J. Sejnowski
- Narrado por: Shawn Compton
- Duración: 8 h y 5 m
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The deep-learning revolution has brought us driverless cars, the greatly improved Google Translate, fluent conversations with Siri and Alexa, and enormous profits from automated trading on the New York Stock Exchange. Deep-learning networks can play poker better than professional poker players and defeat a world champion at Go. In this book, Terry Sejnowski explains how deep learning went from being an arcane academic field to a disruptive technology in the information economy.
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Probably the best audio book available on Deep Learning
- De Charlie en 03-01-19
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Architects of Intelligence
- The Truth About AI from the People Building It
- De: Martin Ford
- Narrado por: Mike Chamberlain
- Duración: 20 h y 7 m
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How will AI evolve and what major innovations are on the horizon? What will its impact be on the job market, economy, and society? What is the path toward human-level machine intelligence? What should we be concerned about as artificial intelligence advances? Architects of Intelligence contains a series of in-depth, one-to-one interviews where New York Times best-selling author Martin Ford uncovers the truth behind these questions from some of the brightest minds in the artificial intelligence community.
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Architects of Intelligence
- De GEORGE D RICE en 01-12-20
De: Martin Ford
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AI Superpowers
- China, Silicon Valley, and the New World Order
- De: Kai-Fu Lee
- Narrado por: Mikael Naramore
- Duración: 9 h y 28 m
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In AI Superpowers, Kai-fu Lee argues powerfully that because of these unprecedented developments in AI, dramatic changes will be happening much sooner than many of us expected. Indeed, as the US-Sino AI competition begins to heat up, Lee urges the US and China to both accept and to embrace the great responsibilities that come with significant technological power.
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Compelled to listen at 2x speed
- De LEE en 09-26-18
De: Kai-Fu Lee
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How to Create a Mind
- The Secret of Human Thought Revealed
- De: Ray Kurzweil
- Narrado por: Christopher Lane
- Duración: 10 h y 4 m
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In How to Create a Mind, Ray Kurzweil presents a provocative exploration of the most important project in human-machine civilization: reverse-engineering the brain to understand precisely how it works and using that knowledge to create even more intelligent machines. Kurzweil discusses how the brain functions, how the mind emerges, brain-computer interfaces, and the implications of vastly increasing the powers of our intelligence to address the world’s problems.
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not useful
- De Michael N. en 11-17-22
De: Ray Kurzweil
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The Essential Beginner’s Guide to AI
- A Breakdown of Artificial Intelligence and Machine Learning to Elevate Your Career and Simplify Everyday Life
- De: Samuel Thorpe
- Narrado por: Tom Brooks
- Duración: 5 h y 3 m
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Master Artificial Intelligence in no time, even if you're a total beginner or a tech novice with our essential guide — Empower your career and simplify your daily life! Does the world of AI and machine learning seem intimidating, complex, or out of reach? Are you interested in diving into the realm of AI but have no idea where to start? Are you overwhelmed by endless information and complex terminologies that seem to make AI learning more challenging? You're not alone!
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Way too basic
- De S. Hung en 03-12-25
De: Samuel Thorpe
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How AI Will Shape Our Future
- Understand Artificial Intelligence and Stay Ahead. Machine Learning. Generative AI. Robots. Quantum AI. Super Intelligence.
- De: Pedro Uria-Recio
- Narrado por: Will Stauff
- Duración: 17 h y 57 m
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This audiobook will help you get ready for the changes coming in the years ahead. Listen now. Packed with expert insights, the book addresses critical questions: How will AI alter employment, education, and global geopolitics? What ethical dilemmas will arise as humans interlace with AI through cyborgs and synthetic biology? Can we prepare for superintelligence and its utopian—or dystopian—outcomes?
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Packed with insightful information
- De Robert M en 10-23-24
De: Pedro Uria-Recio
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Grokking Algorithms
- De: Aditya Bhargava
- Narrado por: Derek Lettman
- Duración: 3 h y 46 m
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This friendly guide teaches you how to apply common algorithms to the practical problems you face every day as a programmer. You'll start with sorting and searching and, as you build up your skills in thinking algorithmically, you'll tackle more complex concerns such as data compression and artificial intelligence. This accesible introduction is suitable for self-taught programmers, engineers, or anyone who wants to brush up on algorithms. Each carefully presented example includes helpful diagrams and fully annotated code samples in Python.
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the book is not good in audio format
- De Anonymous User en 01-09-20
De: Aditya Bhargava
Lo que los oyentes dicen sobre The Master Algorithm
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- ReallyREB
- 05-23-19
What a good introduction!
This was a good introduction. I am a novice to this field, but it certainly piqued my interest. I particularly liked Domingos’ parsing of learning algorithms into five schools. It really made me want to learn more. I also thought the narration helped—a great experience!
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- Rohit Banga
- 07-06-18
Very good introduction to the subject
Love the overview. Math in this field has always confounded me. But the systematic presentation of concepts with the examples has sparked my interest in the field.
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- Chad
- 11-28-17
You will not be disappointed!
Excellent book to a familiarization with machine learning. You will get an understanding of the technical components are neural networks. Overall you will learn the basics of AI.
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- Kedrick Stahley
- 05-25-22
Evolution
Evolution will someday be seen as the big joke that it is. I’m sick of hearing the billions of years crap. But other than that it was a great book!
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- Paul Frew
- 11-10-17
Complicated
I found it difficult to grasp the various equations presented in the book. I think it would require another listen, and perhaps reviewing the book in written format. I love the concept, just a lot of it went over my head.
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- Trevyn
- 04-04-16
this material would be easier to digest on paper
good book, hard to listen to. The author will recount a drawn out mathematical formula verbally from time to time. I can't really keep up with visualizing it as he says it.
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- Nick B
- 06-16-16
good high level overview
I was hoping for a deep dive into machine learning but this was a pretty good high level overview.
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- jemerson
- 11-03-16
Excellent book, well read.
the subject matter was really interesting, and I learned a lot. I'm looking forward to hearing more from this author.
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- Josh
- 04-08-17
Not much meat to this.
I was hoping for a deeper dive, but it never went there. This never went beyond a summary of a summary. And, the reading was awkward.
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- Simon H. Morris
- 01-08-16
Great Machine Learning Book
This book was great. The only thing I didn't like was the narrator. To cheesy.
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