How Google Does Machine Learning
How Google Does Machine Learning
These skills were generated by A.I. Do you agree this course teaches these skills?
This course explores what ML is and what problems it can solve. The course also discusses best practices for implementing machine learning. You’re introduced to Vertex AI, a unified platform to quickly build, train, and deploy AutoML machine learning models.
The course discusses the five phases of converting a candidate use case to be driven by machine learning, and why it’s important to not skip them. The course ends with recognizing the biases that ML can amplify and how to recognize them.
课程信息
目标
- Describe Vertex AI Platform and how it's used to quickly build, train, and deploy AutoML machine learning models without writing a single line of code
- Describe best practices for implementing machine learning on Google Cloud
- Leverage Google Cloud tools and environment to do ML
- Articulate responsible AI best practices
前提条件
• Some familiarity with basic machine learning concepts
• Basic proficiency with a scripting language: Python preferred
受众
• Aspiring machine learning data scientists and engineers
• Machine learning scientists, data scientists, and data analysts
• Data engineers
支持的语言
English, español (Latinoamérica), 日本語, français, 한국어, and português (Brasil)
学完本课程后，我可以做些什么？
学完本课程后，您可以探索学习路线 中的其他内容或浏览学习目录
我能获得什么徽章？
学完一门课程后，您将获得结业徽章。徽章可在个人资料中供查看，还可在社交网络上分享。
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