Machine Learning in One Lesson

Charles Wang's blog post discusses how to use BigQuery ML, Looker, and Fivetran to create simple predictive models without requiring advanced Python skills. The author explains the basic machine learning workflow and demonstrates a linear regression example using these tools. He also provides tips on selecting features, evaluating predictions, and interpreting model weights. The post concludes by mentioning other types of machine learning models that can be used with BigQuery ML and Looker, such as binary and multi-class logistic regression for supervised learning, and k-means clustering for unsupervised learning.