CVR Prediction Model Implementation with BQ ML
Analysis
This article presents a hypothetical case study on implementing a CVR (Conversion Rate) prediction model using BigQuery ML (BQML) and DNN models. It's important to note that the article explicitly states that all companies, products, and numerical data are fictional and do not represent any real-world entities or services. The purpose is to share technical knowledge about BQML and DNN models in a practical context. The value lies in understanding the methodology and potential applications of these technologies, rather than relying on the specific data presented.
Key Takeaways
- •BQML can be used for CVR prediction.
- •DNN models can be integrated with BQML.
- •The article provides a hypothetical case study for learning purposes.
Reference
“本記事は、BigQuery ML (BQML) および DNNモデルの技術的知見の共有を目的として構成された架空のケーススタディです。”