(翻訳) Einstein Studioのモデルビルダーを使用して予測(Forecasting)モデルを構築する
この技術記事では、Data Cloudのモデルビルダーを使用して予測 (Forecasting) ユース ケース向けの予測モデル (Predictive model )を構築する プロセスを順を追って 説明します 。
Beyond Binary: Unlocking Business Insights with the Power of Multinomial Classifiers: “The Lab” – Part 3
This is a continuation of the previous blog post Beyond Binary: Unlocking Business Insights with the Power of Multinomial Classifiers: “The Lab”- Part 2. In this blog, we’ll apply One-versus-Rest approach to train five binary models in EInstein Studio and combine their results for probabilistic consistency. Part 3: Training the Binary Model Ensemble How to ...
Beyond Binary: Unlocking Business Insights with the Power of Multinomial Classifiers – Part 1
Multinomial classifiers open new possibilities for making business insights richer and more actionable. Unlike traditional binary models, which predict simple yes-or-no outcomes, multinomial classifiers dive deeper—identifying the specific reasons behind customer behaviors. In this blog, we’ll explore how multinomial classifiers can transform insights, using customer retention in a streaming service as a powerful example of ...
Build Forecasting models using Einstein Studio’s Model Builder
This guide will walk you through the process of building a predictive model for a forecasting use case using the Model builder in Data Cloud. If you’re new to building predictive models and exploring the No-code model builder, make sure to check out the excellent Salesforce Blog Build an AI Model With Clicks In Data ...