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The Master Algorithm
- How the Quest for the Ultimate Learning Machine Will Remake Our World
- Narrated by: Mel Foster
- Length: 13 hrs and 3 mins
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Basic without much real business insight
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Good concept, poor execution
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Publisher's summary
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.
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Pete and Repeat and Re-repeat
- By Daniel L on 02-25-18
By: John Brockman
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Freedom Evolves
- By: Daniel C. Dennett
- Narrated by: Robert Blumenfeld
- Length: 11 hrs and 21 mins
- Unabridged
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Can there be freedom and free will in a deterministic world? Renowned philosopher Daniel Dennett emphatically answers "yes!" Using an array of provocative formulations, Dennett sets out to show how we alone among the animals have evolved minds that give us free will and morality. Weaving a richly detailed narrative, Dennett explains in a series of strikingly original arguments - drawing upon evolutionary biology, cognitive neuroscience, economics, and philosophy - that far from being an enemy of traditional explorations of freedom, morality, and meaning, the evolutionary perspective can be an indispensable ally.
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I knew I was going to like this book
- By Gary on 05-30-14
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Sync
- How Order Emerges from Chaos in the Universe, Nature, and Daily Life
- By: Steven Strogatz
- Narrated by: Kevin T. Collins
- Length: 13 hrs and 58 mins
- Unabridged
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At once elegant and riveting, Sync tells the story of the dawn of a new science. Steven Strogatz, a leading mathematician in the fields of chaos and complexity theory, explains how enormous systems can synchronize themselves, from the electrons in a superconductor to the pacemaker cells in our hearts. He shows that although these phenomena might seem unrelated on the surface, at a deeper level there is a connection, forged by the unifying power of mathematics.
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Engaging, but maybe better suited for non-audio
- By Ryan on 05-26-12
By: Steven Strogatz
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Too Big To Know
- Rethinking Knowledge Now That the Facts Aren't the Facts, Experts Are Everywhere, and the Smartest Person in the Room Is the Room
- By: David Weinberger
- Narrated by: Peter Johnson
- Length: 8 hrs and 2 mins
- Unabridged
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We used to know how to know. We got our answers from books or experts. We'd nail down the facts and move on. But in the Internet age, knowledge has moved onto networks. There's more knowledge than ever, of course, but it's different. Topics have no boundaries, and nobody agrees on anything.Yet this is the greatest time in history to be a knowledge seeker - if you know how.
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Good to know ...
- By John B. Fisher on 01-24-12
By: David Weinberger
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Why Information Grows
- The Evolution of Order, from Atoms to Economies
- By: César Hidalgo
- Narrated by: Stephen Hoye
- Length: 5 hrs and 54 mins
- Unabridged
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What is economic growth? And why, historically, has it occurred in only a few places? Previous efforts to answer these questions have focused on institutions, geography, finances, and psychology. But according to MIT's anti-disciplinarian César Hidalgo, understanding the nature of economic growth demands transcending the social sciences and including the natural sciences of information, networks, and complexity. To understand the growth of economies, Hidalgo argues, we first need to understand the growth of order.
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Great book!
- By bpjammin on 01-07-17
By: César Hidalgo
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Complexity
- The Emerging Science at the Edge of Order and Chaos
- By: M. Mitchell Waldrop
- Narrated by: Mikael Naramore
- Length: 17 hrs and 8 mins
- Unabridged
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In a rarified world of scientific research, a revolution has been brewing. Its activists are not anarchists, but rather Nobel Laureates in physics and economics and pony-tailed graduates, mathematicians, and computer scientists from all over the world. They have formed an iconoclastic think-tank and their radical idea is to create a new science: complexity. They want to know how a primordial soup of simple molecules managed to turn itself into the first living cell--and what the origin of life some four billion years ago can tell us about the process of technological innovation today.
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You won't learn anything you didn't know
- By Dennis E. Alwine on 12-26-20
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The Great Mental Models
- General Thinking Concepts
- By: Shane Parrish
- Narrated by: Shane Parrish
- Length: 3 hrs and 23 mins
- Unabridged
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The Great Mental Models: General Thinking Concepts is the first book in The Great Mental Models series designed to upgrade your thinking with the best, most useful and powerful tools so you always have the right one on hand. This volume details nine of the most versatile all-purpose mental models you can use right away to improve your decision making, your productivity, and how clearly you see the world.
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A dissapointing debut
- By Peter on 04-14-19
By: Shane Parrish
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Strategic Intuition
- The Creative Spark in Human Achievement
- By: Bill Duggan
- Narrated by: Dennis Holland
- Length: 6 hrs and 46 mins
- Unabridged
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How "Aha!" really happens....When do you get your best ideas? You probably answer "At night" or "In the shower" or "Stuck in traffic". You get a flash of insight. Things come together in your mind. You connect the dots. You say to yourself, "Aha! I see what to do." Brain science now reveals how these flashes of insight happen. It's a special form of intuition. We call it strategic intuition, because it gives you an idea for action - a strategy. This new book by William Duggan is the first full treatment of strategic intuition.
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Stratigic Intuition
- By Amazon Customer on 12-17-08
By: Bill Duggan
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The Blind Watchmaker
- Why the Evidence of Evolution Reveals a Universe Without Design
- By: Richard Dawkins
- Narrated by: Richard Dawkins, Lalla Ward
- Length: 14 hrs and 40 mins
- Unabridged
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The Blind Watchmaker, knowledgably narrated by author Richard Dawkins, is as prescient and timely a book as ever. The watchmaker belongs to the 18th-century theologian William Paley, who argued that just as a watch is too complicated and functional to have sprung into existence by accident, so too must all living things, with their far greater complexity, be purposefully designed. Charles Darwin's brilliant discovery challenged the creationist arguments; but only Richard Dawkins could have written this elegant riposte.
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Challenging textbook more than an enjoyable listen
- By Eric on 01-15-12
By: Richard Dawkins
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In Pursuit of Elegance
- Why the Best Ideas Have Something Missing
- By: Matthew E. May
- Narrated by: Malcolm Hillgartner
- Length: 5 hrs and 46 mins
- Unabridged
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In this thought-provoking exploration, Matthew May defines elegance as the elusive combination of unusual simplicity and surprising power, and pinpoints the four key elements that characterize it: seduction, subtraction, symmetry, and sustainability. In a story-driven narrative that sheds light on the need for elegance in design, engineering, physics, art, urban planning, sports, and work, May offers a surprising array of stories that illustrate why what's "not there" often matters more than what is.
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I love elegance, but this book isn't elegant
- By Oliver Nielsen on 06-26-11
By: Matthew E. May
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The Ravenous Brain
- How the New Science of Consciousness Explains Our Insatiable Search for Meaning
- By: Daniel Bor
- Narrated by: Walter Dixon
- Length: 11 hrs and 15 mins
- Unabridged
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Consciousness is our gateway to experience: it enables us to recognize Van Gogh’s starry skies, be enraptured by Beethoven’s Fifth, and stand in awe of a snowcapped mountain. Yet consciousness is subjective, personal, and famously difficult to examine: philosophers have for centuries declared this mental entity so mysterious as to be impenetrable to science. In The Ravenous Brain, neuroscientist Daniel Bor departs sharply from this historical view, and proposes a new model for how consciousness works.
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Effectively demystifies consciousness
- By Gary on 11-18-12
By: Daniel Bor
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Robots yes, economics no
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What listeners say about The Master Algorithm
Average customer ratingsReviews - Please select the tabs below to change the source of reviews.
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- N. G. PEPIN
- 09-24-15
Great book, irritating narration
Would you recommend this audiobook to a friend? If so, why?
Would recommend to anyone who has the will power to tolerate the poor narration in order to benefit from the excellent content.
What did you like best about this story?
The content is fantastic - Pedro Domingos has written an excellent overview of the field.
What didn’t you like about Mel Foster’s performance?
The narration is by someone who sounds like they are straight out of an ad from the 1950's. He has that sort of "gee whiz, golly gee" tone, with every sentence seeming to end with an exclamation mark, and pronounces the word "computer" like my grandmother used to while she was still alive: sort of like "commuter" (I'm 50, so my grandmother was born in the 1800's -- you get the picture).
I suggest that audible use a learning algorithm next to choose narrators for each content genre that will resonate properly with the audience -- this one is WAY off base!
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52 people found this helpful
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- Gary
- 10-16-15
Let the Data Speak for themselves
The author states that "intuition is what you use when you don't have enough data". The author will show heuristically how intuition is slowly being taken out of analyzing big data and being replaced with algorithms which teach themselves how to make the data speak for themselves. "All learning starts with some knowledge" (a quote from Hume, that the author invokes), and from Hume we know that there is a problem with induction, no matter what the particular can not prove the universal. The trick is to get from the data (the particular) to the universal and the author explains in detail the five general ways we learn and shows how they work in practice. The five ways are Symbolic (think: rational thought), Connective (modeling like the Network in the brain), Bayesian (nothing is certain and all is contingent), Evolutionary (see "The Selfish Gene" by Dawkins), and by Analogy.
The key is to use some variations of the ways ('tribes') and have the method (algorithm) use the data to exploit the information that is within the data set and do it recursively (and as Douglas Hofstadter says "I am a Strange Loop"). The computers are becoming faster, cheaper and can manipulate ever larger and more easily accessible data sets, and the methods have become more refined and usable. For example, brute force Bayesian methods are not used since the whole decision tree necessary for learning complex solutions are never practical and are now replaced by naive Bayesian techniques (only some of the dependent states need to be computed) giving only a small loss in overall accuracy.
The overall point of the book is to show that there is evolutionary thinking going on in writing smart algorithms which are able to let the data speak for themselves and the computer scientists have a tool box of techniques which enable real objective knowledge to be extracted from the data.
I like the TV show Person of Interest. Everything that "The Machine" does on that show can be explained by the techniques discussed in this book. This author doesn't think the computer will ever be able to think or have its own "will". I think this book would be an excellent lead in to the Nick Bostrom book "Superintelligence: Paths, Dangers and Strategies". That book does think super AI will happen and a computer will develop a 'will'. This book, "Master Algorithm" is an excellent primer for someone who believes the "singularity is near" even though the author disagrees (It's odd this author thinks the super AI is not possible because the way he starts off the book by explaining the P=NP problem and how solving that could create a master algorithm which in my way of thinking would lead to a super AI).
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- Mr Joe Booth
- 02-17-16
Yet another book that presents machine learning as magic solution to take us nirvana.
I welcome any book that tries to dispel the myths and break down the complexity into something that accessible...This is not that book.
Machine learning is a great idea, fire your software engineers and have an algorithm the train itself on your data to give you better results.
Unfortunately it doesn't work very well. It takes a highly trained PhD data scientist to select and tune the algorithm to achieve this magic.
Fortunately, this author has the solution. The master algorithm! Well he doesn't have the master algorithm but spends half the book arguing that it would be really great idea if someone would find it. Oh, and then he presents his ideas that kind of get some way towards that algorithm but don't quite work very well.
While there are many parts of the book that are enlightening and informative, the book is let down by grandiose posturing and over complication of the inner working of machine learning.
I really did not need another lecture on the moral guidance for how to live in a world ruled by machine learning. Let's leave that to the science-fiction writers of the 1940s and 50s who frankly did a much better job.
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43 people found this helpful
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- Patti Jo Miller
- 02-22-16
Not a master story teller
Great topic. Text is dense. Narrator sounded like and infomercial announcer. Not learned or academic like the author is.
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11 people found this helpful
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- arash
- 02-12-16
Informative
I am a data science student and I found this book to be informative and interesting.
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- Andre Paulino de Lima
- 01-08-16
Great listening
Great listening. If you want to get deeper, the author is going to offer a Machine Learning course on Coursera.
Suggestion: It would be great if the book pictures were made available to the listener, in special those of the chapter 9 -- then I would give it 5 stars!
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- michael
- 11-17-15
Hard to read about ...nothing
I am a computer science professional, but I hardly found a few thoughts about anything in this book. Narrator did a good job, but I have a hard time giving him 5 stars, if I found the book a waste of time. really.
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- Ryan
- 02-04-18
Just way too high level and full of fluff
This frustrated me because I invested hours of time waiting for it to get deeper and more technical, but eventually got exhausted waiting. I was looking for another deep book after finishing Superintelligence.
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- Mike Lane
- 02-17-16
A lay of the land.
I like the overview of the current state of the art of Machine Learning. I do not care for the hand waving dismissals of people like Chomsky at the beginning or the handwaving dismissal of some of the ethical issues at the end. The pace of the speech was very slow and plodding. But I used the app to speed it up 1.5x and it was mostly fine.
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- James Damschroder
- 02-13-16
a great functional survey of artificial intelligen
pretty amazing that the author could teach artificial intelligence techniques so well in an audiobook skip the Stanford masters degree and listen to this book instead.
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