Practical Machine Learning on H2O

所在平台: CourseraArchive

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大学或机构: CourseraNew

课程主页: https://www.coursera.org/archive/machine-learning-h2o

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H2O

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In this course, we will learn all the core techniques needed to make effective use of H2O. Even if you have no prior experience of machine learning, even if your math is weak, by the end of this course you will be able to make machine learning models using a variety of algorithms. We will be using linear models, random forest, GBMs and of course deep learning, as well as some unsupervised learning algorithms. You will also be able to evaluate your models and choose the best model to suit not just your data but the other business restraints you may be under.

关于H2O的实用机器学习:在本课程中,我们将学习有效利用H2O所需的所有核心技术。即使您没有机器学习的经验,即使您的数学能力很弱,到本课程结束时,您也可以使用多种算法来建立机器学习模型。我们将使用线性模型,随机森林,GBM,当然还有深度学习,以及一些无监督的学习算法。您还将能够评估您的模型,并选择最佳模型以不仅适合您的数据,还可以满足您可能遇到的其他业务限制。

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