[PDF.94ho] Ensemble Methods in Data Mining: Improving Accuracy Through Combining Predictions (Synthesis Lectures on Data Mining and Knowledge Discovery)

Ensemble Methods in Data Mining: Improving Accuracy Through Combining Predictions (Synthesis Lectures on Data Mining and Knowledge Discovery)

[PDF.au69] Ensemble Methods in Data Mining: Improving Accuracy Through Combining Predictions (Synthesis Lectures on Data Mining and Knowledge Discovery)

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 | #940936 in Books |  Morgan and Claypool Publishers |  2010-02-24 | Original language:English | PDF # 1 |  9.25 x.29 x7.50l,.51 | File type: PDF | 126 pages

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||0 of 0 people found the following review helpful.| If you need an overview of techniques in the field|By Sandro Saitta|There are very few books available discussing general aspects of ensemble methods. One of them is Ensemble methods from Seni, Elder and Grossmann. It provides a high level overview of ensemble learning. However, the book contains a lot of equations which make it hard to read from the beginning until the end. Yo|From the Inside Flap|"This book by Seni and Elder provides a timely, concise introduction to this topic. After an intuitive, highly accessible sketch of the key concerns in predictive learning, the book takes the readers through a shortcut into the heart of the

Ensemble methods have been called the most influential development in Data Mining and Machine Learning in the past decade. They combine multiple models into one usually more accurate than the best of its components. Ensembles can provide a critical boost to industrial challenges -- from investment timing to drug discovery, and fraud detection to recommendation systems -- where predictive accuracy is more vital than model interpretability.

Ensembles are useful wit...

You easily download any file type for your device.Ensemble Methods in Data Mining: Improving Accuracy Through Combining Predictions (Synthesis Lectures on Data Mining and Knowledge Discovery)   |  Giovanni Seni, John Elder. I have read it a couple of times and even shared with my family members. Really good. Couldnt put it down.

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