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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

Probability density function and probability mass function

So we've already seen some examples of a normal distribution function for some of the examples in this book. That's an example of a probability density function, and there are other types of probability density functions out there. So let's dive in and see what it really means and what some other examples of them are.

The probability density function and probability mass functions

We've already seen some examples of a normal distribution function for some of the code we've looked at in this book. That's an example of a probability density function, and there are other types of probability density functions out there. Let's dive in...

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