[Data Science Practical] Automated Machine Learning (Auto ML) Free Download
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  Data Science Practical  Free Tutorial Download

Despite great successes in many fields, machine learning typically requires substantial human resources to determine a good machine learning pipeline (including various types of preprocessing, and the choice of classifiers and hyperparameters). AutoML aims to free human practitioners and researchers from these menial tasks. The current state-of-the-art in AutoML has been evaluated in the AutoML challenge 2018. Here, we describe our winning entry to this challenge, dubbed PoSH Auto-sklearn, which combines an automatically preselected portfolio, ensemble building and Bayesian optimization with successive halving. Finally, we share insights in the importance of different parts of our approach

[Data Science Practical] Automated Machine Learning (Auto ML), FreeTuts Download[Data Science Practical] Automated Machine Learning (Auto ML), FreeTuts Download

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Read more course:  Introduction to Unreal Engine 4 Ability System - UE4

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About the Author: Ho Quang Dai

I am Ho Quang Dai. Looking forward to receiving positive contributions from readers

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