Weapons of Math Destruction
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Weapons of Math Destruction

13
SKU: 9780141985411

Original price was: ₹599.00.Current price is: ₹479.00.

Discover the dark side of algorithms in Cathy O’Neil’s “Weapons of Math Destruction.” This eye-opening book exposes how Big Data and flawed mathematical models reinforce discrimination and inequality. Explore real-world examples of biased algorithms in areas like education, employment and justice. A must-read for anyone concerned about the impact of technology and data in the modern world.

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Description

  • ISBN-13: 9780141985411
  • Publisher: Penguin Books Ltd
  • Binding: Paperback
  • Height: 197 mm
  • Returnable: Y
  • Weight: 210 gr
  • ISBN-10: 0141985410
  • Publisher Date: 19 Jun 2017
  • Depth: 22
  • No of Pages: 272
  • Spine Width: 19 mm
  • Width: 128 mm

Additional information

Weight 0.5 kg

13 reviews for Weapons of Math Destruction

  1. Sachin Sanjay Kakad –

    While informative, the book felt a bit preachy at times. The points are valid and I learned a lot.

  2. Tanmay Kumar Sarkar –

    Scary stuff! O’Neil presents a compelling case against biased algorithms. Everyone should know about this.

  3. Yogesh Jijhontiya –

    Terrifying and fascinating. O’Neil does a great job exposing the dangers of unchecked algorithms. Highly recommend.

  4. Abhishek Anand –

    I appreciated the real-world examples, but the writing style didn’t always keep me engaged. Still informative though.

  5. Sarim Ahmad –

    This book changed how I see the world. The examples are shocking, and the message is crucial. A must-read for everyone.

  6. Rohit Soni –

    Important topic, but the writing was a little dry. Still, worth pushing through to understand the issues. Impactful!

  7. Varun Mittal –

    A bit technical in places, but the overall message is clear. Algorithms are not neutral, and we need to be aware.

  8. Suramya Dinkar –

    This book is essential reading. It’s eye-opening and highlights the urgent need for ethical AI development.

  9. Harshit Lohumi –

    A powerful and disturbing look at the hidden biases in our data-driven world. Highly recommended for anyone in tech.

  10. Himanshu Gupta –

    A real eye-opener! Makes you think twice about trusting algorithms. Some parts were a bit dense, but overall a worthwhile read.

  11. Somay Gupta –

    I found it insightful but a bit repetitive at times. The core message is strong, but the delivery could be better.

  12. Ananya Katyayan –

    O’Neil provides clear examples of how algorithms perpetuate inequality. A must read and deeply troubling.

  13. Nikhil Kashyap –

    Important information, but the book could have been more concise. Still, glad I read it. Very insightful.

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