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Artificial Intelligence with Python Cookbook

You're reading from   Artificial Intelligence with Python Cookbook Proven recipes for applying AI algorithms and deep learning techniques using TensorFlow 2.x and PyTorch 1.6

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Product type Paperback
Published in Oct 2020
Publisher Packt
ISBN-13 9781789133967
Length 468 pages
Edition 1st Edition
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Authors (2):
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Ritesh Kumar Ritesh Kumar
Author Profile Icon Ritesh Kumar
Ritesh Kumar
Ben Auffarth Ben Auffarth
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Ben Auffarth
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Table of Contents (13) Chapters Close

Preface 1. Getting Started with Artificial Intelligence in Python 2. Advanced Topics in Supervised Machine Learning FREE CHAPTER 3. Patterns, Outliers, and Recommendations 4. Probabilistic Modeling 5. Heuristic Search Techniques and Logical Inference 6. Deep Reinforcement Learning 7. Advanced Image Applications 8. Working with Moving Images 9. Deep Learning in Audio and Speech 10. Natural Language Processing 11. Artificial Intelligence in Production 12. Other Books You May Enjoy

Writing a popular novel

We've mentioned the Turing test before as a way of finding out whether a computer is intelligent enough to trick an interrogator into thinking it is human. Some text generation tools generate essays that could possibly make sense, however, contain no intellectual merit behind the appearance of scientific language.

The same could be said of some human essays and utterances, however. Nassim Taleb, in his book Fooled by Randomness, argued a person should be called unintelligent if their writing could not be distinguished from an artificially generated one (a reverse Turing test). In a similar vein, Alan Sokal's 1996 hoax article Transgressing the Boundaries: Towards a Transformative Hermeneutics of Quantum Gravity, accepted by and published in a well-known social science journal, was a deliberate attempt by the university professor of physics to expose a lack of intellectual rigor and the misuse of scientific terminology without understanding. A possible...

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