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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

What does research tell us about virality?

Understanding sharing behavior is big business. As consumers become increasingly blind to traditional advertising year on year, the push is on to go beyond simple pitches to tell engaging stories. And increasingly, the success of these endeavors is measured in social shares. Why go to so much trouble? Because, as a brand, every share I receive represents another consumer I've reached—all without spending an additional cent.

Because of this value, several researchers have examined sharing behavior in the hope of understanding what motivates it. Among the reasons researchers have found are the following:

  • To provide practical value to others (an altruistic motive)
  • To associate ourselves with certain ideas and concepts (an identity motive)
  • To bond with others around a common emotion (a communal motive)

With regard to the last...

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