H2O AutoML培训

课程编码

h2oautoML

课程时长

14 小时 通常来说是2天,包括中间休息。

要求

  • Experience working with machine learning models.
  • Python or R programming experience.

Audience

  • Data scientists
  • Data analysts
  • Subject matter experts (domain experts)

课程概览

h2o autml 是一个人工智能平台, 可实现构建、选择和优化大量机器学习模型的自动化。

本教师指导的现场培训 (现场或远程) 针对的数据科学家希望使用 h2o autml 自动生成和选择最佳机器学习算法和参数的过程

到本次培训结束时, 学员将能够:

  • 自动化机器学习工作流
  • 在指定的时间范围内自动训练和调整多个机器学习模型。
  • 火车堆叠合奏, 以达到高度预测的合奏模型.
课程

格式

  • 互动讲座和讨论.
  • 大量的练习和练习
  • 在现场实验室环境中的实际实现。

课程自定义选项

  • 要要求本课程的定制培训, 请联系我们安排

Machine Translated

课程大纲

Introduction

Setting up a Working Environment

Installing H2O

Anatomy of a Standard Machine Learning Workflow

  • Data-preprocessing, feature engineering, deployment, etc.

Statistical and Machine Learning Algorithms

  • Gradient boosted machines, generalized linear models, deep learning, etc. 

How H2O Automates the Machine Learning Workflow

  • Binary Classification, Regression, etc.

Case Study: Predicting Product Availability

Downloading a Dataset

Building a Machine Learning Model

Specify a Training Frame

Training and Cross-Validating Different Models

Tuning the Hyperparameters

Training two Stacked Ensemble Models

Generating a Leaderboard of the Best Models

Inspecting the Ensemble Composition

Training a Large Number of Deep Neural Network Models

Troubleshooting

Summary and Conclusion

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