AutoML with Auto-sklearn培训

课程编码

autosklearn

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 programming experience.

Audience

  • Data scientists
  • Data analysts with a technical background

课程概览

自动滑雪学是围绕科学学习机器学习库构建的 python 包。它自动搜索新机器学习数据集的正确学习算法, 并优化其参数

本教师指导的现场培训 (现场或远程) 针对的是希望使用自动滑雪学习的机器学习从业人员, 以自动选择和优化机器学习模型的过程

到本次培训结束时, 学员将能够:

  • 自动化培训高效机器学习模型的过程。
  • 构建高精度的机器学习模型, 同时绕过选择、培训和测试不同模型的更繁琐的任务.
  • 利用机器学习的力量来解决现实世界中的业务问题
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 Auto-sklearn

Anatomy of a Standard Machine Learning Workflow

How Auto-sklearn Automates the Machine Learning Workflow

Searching for the Best Neural Network Architecture with NAS (Neural Architecture Search)

Case Study: AutoML with Auto-sklearn

Downloading a Dataset

Building a Machine Learning Model

Training and Testing the Model

Tuning the Hyperparameters

Building, Training, and Testing Additional Models

Tweaking the Hyperparameters to Improve Accuracy

Configuring Auto-sklearn for Deep Learning Models

Troubleshooting

Summary and Conclusion

课程分类

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