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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

Multi-level models

It makes sense now to talk about multi-level models. This is definitely an advanced topic, and I'm not going to get into a whole lot of detail here. My objective right now is to introduce the concept of multi-level models to you, and let you understand some of the challenges and how to think about them when you're putting them together. That's it.

The concept of multi-level models is that some effects happen at various levels in the hierarchy. For example, your health. Your health might depend on how healthy your individual cells are, and those cells might be a function of how healthy the organs that they're inside are, and the health of your organs might depend on the health of you as a whole. Your health might depend in part on your family's health and the environment your family gives you. And your family's health in turn might...

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