Showing results for "Learning and Not Learning English" in Computers & Technology
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Dark Data
- Why What You Don't Know Matters
- Written by: David J. Hand
- Narrated by: David J. Hand
- Length: 9 hrs and 45 mins
- Unabridged
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Dark Data explores the many ways in which we can be blind to missing data and how that can lead us to conclusions and actions that are mistaken, dangerous, or even disastrous. Examining a wealth of real-life examples, from the Challenger shuttle explosion to complex financial frauds, Hand gives us a practical taxonomy of the types of dark data that exist and the situations in which they can arise, so that we can learn to recognize and control for them.
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Dark Data
- Why What You Don't Know Matters
- Narrated by: David J. Hand
- Length: 9 hrs and 45 mins
- Release Date: 18-02-20
- Language: English
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₹468.00 or free with 30-day trial
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Humans Need Not Apply
- A Guide to Wealth and Work in the Age of Artificial Intelligence
- Written by: Jerry Kaplan
- Narrated by: John Pruden
- Length: 5 hrs and 58 mins
- Unabridged
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After billions of dollars and 50 years of effort, researchers are finally cracking the code on artificial intelligence. As society stands on the cusp of unprecedented change, Jerry Kaplan unpacks the latest advances in robotics, machine learning, and perception powering systems that rival or exceed human capabilities. Driverless cars, robotic helpers, and intelligent agents that promote our interests have the potential to usher in a new age of affluence and leisure.
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Humans Need Not Apply
- A Guide to Wealth and Work in the Age of Artificial Intelligence
- Narrated by: John Pruden
- Length: 5 hrs and 58 mins
- Release Date: 15-03-16
- Language: English
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₹703.00 or free with 30-day trial
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Not with a Bug, but with a Sticker
- Attacks on Machine Learning Systems and What to Do About Them
- Written by: Ram Shankar Siva Kumar, Hyrum Anderson, Bruce Schneier - foreword
- Narrated by: Shawn K. Jain
- Length: 7 hrs
- Unabridged
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In Not with a Bug, But with a Sticker: Attacks on Machine Learning Systems and What to Do About Them, a team of distinguished adversarial machine learning researchers deliver a riveting account of the most significant risk to currently deployed artificial intelligence systems: cybersecurity threats. The authors take you on a sweeping tour—from inside secretive government organizations to academic workshops at ski chalets to Google's cafeteria—recounting how major AI systems remain vulnerable to the exploits of bad actors of all stripes.
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Not with a Bug, but with a Sticker
- Attacks on Machine Learning Systems and What to Do About Them
- Narrated by: Shawn K. Jain
- Length: 7 hrs
- Release Date: 21-11-23
- Language: English
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₹469.00 or free with 30-day trial
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