AutoML培训

课程编码

automl

课程时长

14 小时 通常来说是2天,包括中间休息。

要求

  • Experience with machine learning algorithms.
  • Python or R programming experience.

Audience

  • Data analysts
  • Data scientists
  • Data engineers
  • Developers

课程概览

automl 是一种用户友好的机器学习软件, 它自动完成选择理想的机器学习算法、其参数设置和预处理方法所需的大量工作。

本教师指导的现场培训 (现场或远程) 针对具有机器学习背景的技术人员, 他们希望优化用于检测大数据中复杂模式的机器学习模型

到本次培训结束时, 学员将能够:

  • 安装和评估各种开源自动 ml 工具.
  • 培训高质量的机器学习模型。
  • 有效地解决不同类型的监督机器学习问题.
  • 只编写必要的代码来启动自动化机器学习过程.
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
  • 要了解有关 automl 的更多信息, 请访问: https://www.automl.org/

Machine Translated

课程大纲

Introduction

Setting up a Working Environment

Overview of AutoML Features

How AutoML Explores Algorithms

  • Gradient Boosting Machines (GBMs), Random Forests, GLMs, etc.

Solving Problems by Use-Case

Solving Problems by Training Data Type

Data Privacy Considerations

Cost Considerations

Preparing Data

Working with Numeric and Categorical Data

  • IID tabular data (H2O AutoML, auto-sklearn, TPOT)

Working with Time Dependent Data (Time-Series Data)

Classifying Raw Text

Classifying Raw Image Data

  • Deep Learning and Neural Architecture Search (TensorFlow, PyTorch, Auto-Keras, etc.)

Deploying an AutoML Method

A Look at the Algorithms Inside AutoML

Ensembling Different Models Together

Troubleshooting

Summary and Conclusion

客户评论

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★★★★★

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