How Do I Know My Machine Learning Data Model is Good
An Example Using Oracle Analytics Cloud
A Data Model is the key output part of a Machine Learning (ML) process.
It helps the prediction of new outcomes as new values are inserted into it. But, how can you make certain if you have the right data model? Each ML technique is associated with metrics that evaluates the ML data model performance. This presentation will answer this using Oracle Analytics Cloud (OAC) as an example.
This presentation will demonstrate the most commonly used ML techniques and algorithms, and their corresponding Data Model evaluation metric. Then, we will use Oracle Analytics Cloud (OAC) to provide a comparison by using a sample data set.
Watch this webinar to:
- Gain an understanding and overview of what Artificial Intelligence (AI) and Machine Learning (ML) is and how it relates to data analytics.
- Learn how to formulate the right Data Model as the key output part of an ML process.
- See commonly used ML techniques and algorithms, and their corresponding Data Model evaluation metric.
- Watch a demonstration of how to apply these concepts using Oracle Analytics Cloud (OAC).
Watch the Webinar Here