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Practical Machine Learning Cookbook

You're reading from   Practical Machine Learning Cookbook Supervised and unsupervised machine learning simplified

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Product type Paperback
Published in Apr 2017
Publisher Packt
ISBN-13 9781785280511
Length 570 pages
Edition 1st Edition
Languages
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Author (1):
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Atul Tripathi Atul Tripathi
Author Profile Icon Atul Tripathi
Atul Tripathi
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Toc

Table of Contents (15) Chapters Close

Preface 1. Introduction to Machine Learning FREE CHAPTER 2. Classification 3. Clustering 4. Model Selection and Regularization 5. Nonlinearity 6. Supervised Learning 7. Unsupervised Learning 8. Reinforcement Learning 9. Structured Prediction 10. Neural Networks 11. Deep Learning 12. Case Study - Exploring World Bank Data 13. Case Study - Pricing Reinsurance Contracts 14. Case Study - Forecast of Electricity Consumption

Hierarchical clustering - Amazon rainforest burned between 1999-2010


Between 1999-2010, 33,000 square miles (85,500 square kilometers), or 2.8 percent of the Amazon rainforest burned down. This was found by NASA-led research. The main purpose of the research was to measure the extent of fire smolders under the forest canopy. The research found that burning forests destroys a much larger area compared to when forest lands are cleared for agriculture and cattle pasture. Yet, no correlation could be established between the fires and deforestation.

The answer to the query of no correlation between fires and deforestation lay in humidity data from the Atmospheric Infrared Sounder (AIRS) instrument aboard NASA's Aqua satellite. The fire frequency coincides with low night-time humidity, which allowed the low-intensity surface fires to continue burning.

Getting ready

In order to perform hierarchical clustering, we shall be using a dataset collected on the Amazon rainforest, which burned from 1999-2010...

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