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所在平台: Coursera |
课程主页: https://www.coursera.org/learn/machine-learning-h2o
课程评论：没有评论
课程名称：H2O实用机器学习 课程概述：在本课程中，我们将学习使用H2O所需的所有核心技术。即使您没有机器学习的经验，数学基础薄弱，通过本课程的学习，您将能够使用多种算法构建机器学习模型。我们将涉及线性模型、随机森林、梯度提升机（GBM）以及深度学习，还有一些无监督学习算法。您还将学会如何评估模型，并根据数据和其他业务约束选择最合适的模型。 课程大纲： 1. H2O与基础知识 2. 树与过拟合 3. 线性模型及更多 4. 深度学习 5. 无监督学习 6. 其他相关内容 通过本课程，您将在机器学习领域获得实践经验，并能够有效应用H2O工具进行各种模型的构建与评估。
Name:H2O AND THE FUNDAMENTALS
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Name:Trees And Overfitting
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Name:LINEAR MODELS AND MORE
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Name:Deep Learning
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Name:UNSUPERVISED LEARNING
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Name:Everything Else!
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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.
