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Python Machine Learning Blueprints

You're reading from   Python Machine Learning Blueprints Put your machine learning concepts to the test by developing real-world smart projects

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Product type Paperback
Published in Jan 2019
Publisher Packt
ISBN-13 9781788994170
Length 378 pages
Edition 2nd Edition
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Authors (3):
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Michael Roman Michael Roman
Author Profile Icon Michael Roman
Michael Roman
Alexander Combs Alexander Combs
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Alexander Combs
Saurabh Chhajed Saurabh Chhajed
Author Profile Icon Saurabh Chhajed
Saurabh Chhajed
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Table of Contents (13) Chapters Close

Preface 1. The Python Machine Learning Ecosystem FREE CHAPTER 2. Build an App to Find Underpriced Apartments 3. Build an App to Find Cheap Airfares 4. Forecast the IPO Market Using Logistic Regression 5. Create a Custom Newsfeed 6. Predict whether Your Content Will Go Viral 7. Use Machine Learning to Forecast the Stock Market 8. Classifying Images with Convolutional Neural Networks 9. Building a Chatbot 10. Build a Recommendation Engine 11. What's Next? 12. Other Books You May Enjoy

The Turing Test

30 years before Searle's Chinese Room, Alan Turing posed the question, can machines think? in one of his more famous papers. Being the practical genius he was, he decided not to tackle that question head on, but to instead pose it in the framework of the problem of other minds. This problem asks, how do we truly know that other people have minds like our own? Since we can only observe their behavior—and not the inner workings of their mind—we must take it on faith that they are like us. Turing proposed that if a machine could behave as if it were intelligent, then we should view it as such. This, in a nutshell, is the Turing Test. Passing the test means convincing humans that a machine is a fellow human.

You might be wondering at this point, has a program ever successfully passed the Turing Test? And the answer is that there really is no official...

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