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AIQ

How People and Machines Are Smarter Together
Durée : 8 h et 4 min
4.5 out of 5 stars (2 notations)

Prix : 25,13 €

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Description

"There comes a time in the life of a subject when someone steps up and writes the book about it. AIQ explores the fascinating history of the ideas that drive this technology of the future and demystifies the core concepts behind it; the result is a positive and entertaining look at the great potential unlocked by marrying human creativity with powerful machines." (Steven Levitt, co-author of Freakonomics)

From two cutting-edge data scientists comes a fascinating audiobook that tells listeners what they need to know in order to understand how intelligent machines are changing the world and how we can use this knowledge to make better decisions in our own lives. 

Dozens of times per day, we all interact with intelligent machines that are constantly learning from the wealth of data now available to them. These machines, from smart phones to talking robots to self-driving cars, are remaking the world of the 21st century in the same way that the Industrial Revolution remade the world of the 19th century. 

AIQ, by Nick Polson and James Scott, is based on a simple premise: If you want to understand the modern world, then you have to know a little bit of the mathematical language spoken by intelligent machines. AIQ will teach listeners that language - but in an unconventional way, anchored in stories rather than mathematics. 

Listeners will meet a fascinating cast of historical characters who have a lot to teach about data, probability, and better thinking. Along the way, listeners will see how these same ideas are playing out in the modern age of big data and intelligent machines - and how these technologies will soon help them to overcome some of their built-in cognitive weaknesses, giving them a chance to lead happier, healthier, more fulfilled lives.

PLEASE NOTE: When you purchase this title, the accompanying reference material will be available in your Library section along with the audio. 

©2018 Nicholas Polson and James Scott (P)2018 Macmillan Audio

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Notations

Global

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  • Global
    3 out of 5 stars
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  • RealTruth
  • 29/06/2018

Good to begin with, not enough information about AI

Not bad altogether, just not quite as in depth as I would have hoped. Good examp!we about matrices used in artificial vision

2 sur 2 personne(s) ont trouvé cet avis utile.

  • Global
    3 out of 5 stars
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    3 out of 5 stars
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    3 out of 5 stars
Image de profile pour Wilbert van der Kruk
  • Wilbert van der Kruk
  • 14/08/2018

this book was not bad but not much news.

while the book was worth listening to, I have not learned much new things. I was waiting for the core when it suddenly ended.

1 sur 1 personne(s) ont trouvé cet avis utile.

  • Global
    4 out of 5 stars
  • Performance
    3 out of 5 stars
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    4 out of 5 stars
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  • Tom
  • 13/08/2018

Great introduction to data analytics

Great explanation of analytics without all that math to numb your mind. This was a great for anyone who wants to better understand the power of the algorithm in your daily life. The book gave me a great starting point for this subject.

1 sur 1 personne(s) ont trouvé cet avis utile.

  • Global
    3 out of 5 stars
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    5 out of 5 stars
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    3 out of 5 stars
Image de profile pour Matthew Duncan
  • Matthew Duncan
  • 13/09/2019

Nice stories Grace Hopper, Florence Nighting

Almost nothing in this book talked about AI. It was stats 101 + data analysis applications. It should have been called Data IQ, or DIQ.

  • Global
    5 out of 5 stars
Image de profile pour Eric L. Epps
  • Eric L. Epps
  • 18/04/2019

Balanced and informative

Most balanced approach to AI I've read. A great look at the benefits and drawbacks of AI without being starry-eyed or panic-stricken. Explains the concepts in a non-technical but accurate way.

  • Global
    3 out of 5 stars
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    2 out of 5 stars
Image de profile pour HTHONLINE
  • HTHONLINE
  • 22/11/2018

Enjoyed the first few chapters

I enjoyed the first few chapters as it helped me understand some of the more intricate details about advanced technology. The audio is ready by different narrators, which is odd. I enjoyed Nick Polson's narration, but after Nick stopped reading, I lost interest. The content got very technical and too deep for me at this point in my learning about advanced technologies. I'll keep this book in my library and come back to it if I ever need to dive deeper into understanding. If you are just learning and understanding advanced technology, I'd suggest listening to the first few chapters only. If you are a developer, analyst or in another field where you need to know the full ins and outs of advanced technologies and how the interrelate, then this book is for you.