Learning Salesforce Einstein

Drawback of this approach

The preceding approach is not scalable, while it serves as a great experiment to understand the fundamentals of a machine learning process.

From the previous experiment, the following are the conclusions:

• The prediction system uses a larger Dataset and, hence, considering data limits on the Salesforce platform, it's always better to have a big data server collecting the data and forming the model
• There is a need to train the data periodically to get an appropriate model and keep it up-to-date
• Machine learning uses statistical analysis under the hood. In this scenario, we are using the regression model. As an app developer, there is no need to really dig into mathematics although there is no harm in doing so

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