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50 Algorithms Every Programmer Should Know

You're reading from   50 Algorithms Every Programmer Should Know Tackle computer science challenges with classic to modern algorithms in machine learning, software design, data systems, and cryptography

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Product type Paperback
Published in Sep 2023
Publisher Packt
ISBN-13 9781803247762
Length 538 pages
Edition 2nd Edition
Languages
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Author (1):
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Imran Ahmad Imran Ahmad
Author Profile Icon Imran Ahmad
Imran Ahmad
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Toc

Table of Contents (22) Chapters Close

Preface 1. Section 1: Fundamentals and Core Algorithms
2. Overview of Algorithms FREE CHAPTER 3. Data Structures Used in Algorithms 4. Sorting and Searching Algorithms 5. Designing Algorithms 6. Graph Algorithms 7. Section 2: Machine Learning Algorithms
8. Unsupervised Machine Learning Algorithms 9. Traditional Supervised Learning Algorithms 10. Neural Network Algorithms 11. Algorithms for Natural Language Processing 12. Understanding Sequential Models 13. Advanced Sequential Modeling Algorithms 14. Section 3: Advanced Topics
15. Recommendation Engines 16. Algorithmic Strategies for Data Handling 17. Cryptography 18. Large-Scale Algorithms 19. Practical Considerations 20. Other Books You May Enjoy
21. Index

Failure of Tay, the Twitter AI bot

Let’s present the classical example of Tay, which was presented as the first-ever AI Twitter bot created by Microsoft in 2016. Using an AI algorithm, Tay was trained as an automated Twitter bot capable of responding to tweets about a particular topic. To achieve that, it had the capability of constructing simple messages using its existing vocabulary by sensing the context of the conversation. Once deployed, it was supposed to keep learning from real-time online conversations and by augmenting its vocabulary of the words used often in important conversations. After living in cyberspace for a couple of days, Tay started learning new words. In addition to some new words, unfortunately, Tay picked up some words from the racism and rudeness of ongoing tweets. It soon started using newly learned words to generate tweets of its own. A tiny minority of these tweets were offensive enough to raise a red flag. Although it exhibited intelligence and...

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