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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

Building a Chatbot

Imagine for a moment that you're sitting alone in a quiet, spacious room. To your right is a small table with a stack of white printer paper and a single black pen. In front of you is what seems to be a large, red cube with a tiny opening—slightly smaller than the size of a mail slot. An inscription just above the slot invites you to write down a question and pass it through the slot. As it happens, you speak Mandarin; so, you write down your question in Mandarin on one of the sheets and insert it into the opening. A few moments pass, and then slowly, an answer emerges. It's also written in Chinese and is the just the sort of answer you might have expected. So, what did you ask? Are you a person or a computer? And the response? Why yes, yes I am.

This thought experiment is based on philosopher John Searle's Chinese Room Argument. The premise...

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