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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

Product type Paperback

Published in Jul 2017

Publisher Packt

ISBN-13 9781787280748

Length 420 pages

Edition 1st Edition

Languages

Python

Tools

NumPy

Concepts

Data Mining

Author (1):

Frank Kane

View More author details

Table of Contents (16) Chapters

Title Page

Credits

About the Author

www.PacktPub.com

Customer Feedback

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 and see what that really means and what some other examples of them there are.

Probability density functions

Let's talk about probability density functions, and we've used one of these already in the book. We just didn't call it that. Let's formalize some of the stuff that we've talked about. For example, we...

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Authors (1)

Frank Kane

Frank Kane

Frank Kane has spent nine years at Amazon and IMDb, developing and managing the technology that automatically delivers product and movie recommendations to hundreds of millions of customers all the time. He holds 17 issued patents in the fields of distributed computing, data mining, and machine learning. In 2012, Frank left to start his own successful company, Sundog Software, which focuses on virtual reality environment technology and teaches others about big data analysis.

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