Launching into Machine Learning
Launching into Machine Learning
These skills were generated by A.I. Do you agree this course teaches these skills?
The course begins with a discussion about data: how to improve data quality and perform exploratory data analysis. We describe Vertex AI AutoML and how to build, train, and deploy an ML model without writing a single line of code. You will understand the benefits of Big Query ML. We then discuss how to optimize a machine learning (ML) model and how generalization and sampling can help assess the quality of ML models for custom training.
课程信息
目标
- Describe how to improve data quality and perform exploratory data analysis
- Build and train AutoML Models using Vertex AI and BigQuery ML
- Optimize and evaluate models using loss functions and performance metrics
- Create repeatable and scalable training, evaluation, and test datasets
前提条件
Familiarity with Python or other programming languages
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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