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Hands-On Data Science and Python Machine Learning

You're reading from   Hands-On Data Science and Python Machine Learning Perform data mining and machine learning efficiently using Python and Spark

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Product type Paperback
Published in Jul 2017
Publisher Packt
ISBN-13 9781787280748
Length 420 pages
Edition 1st Edition
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Author (1):
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Frank Kane Frank Kane
Author Profile Icon Frank Kane
Frank Kane
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Table of Contents (11) Chapters Close

Preface 1. Getting Started FREE CHAPTER 2. Statistics and Probability Refresher, and Python Practice 3. Matplotlib and Advanced Probability Concepts 4. Predictive Models 5. Machine Learning with Python 6. Recommender Systems 7. More Data Mining and Machine Learning Techniques 8. Dealing with Real-World Data 9. Apache Spark - Machine Learning on Big Data 10. Testing and Experimental Design

Determining how long to run an experiment for

How long do you run an experiment for? How long does it take to actually get a result? At what point do you give up? Let's talk about that in more detail.

If someone in your company has developed a new experiment, a new change that they want to test, then they have a vested interest in seeing that succeed. They put a lot of work and time into it, and they want it to be successful. Maybe you've gone weeks with the testing and you still haven't reached a significant outcome on this experiment, positive or negative. You know that they're going to want to keep running it pretty much indefinitely in the hope that it will eventually show a positive result. It's up to you to draw the line on how long you're willing to run this experiment for.

How do I know when I'm done running an A/B test? I mean, it&apos...

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