6.1 About MySQL HeatWave AutoML

6.1.1 MySQL HeatWave AutoML Ease of Use

6.1.2 MySQL HeatWave AutoML Workflow

6.1.3 MySQL HeatWave AutoML Learning Types

6.1.4 Oracle AutoML

MySQL HeatWave AutoML makes it easy to use machine learning (ML), whether you are a novice user or an experienced ML practitioner. You provide the data, and MySQL HeatWave AutoML analyzes the characteristics of the data and creates an optimized machine learning model that you can use to generate predictions and explanations. An ML model makes predictions by identifying patterns in your data and applying those patterns to unseen data. MySQL HeatWave AutoML explanations help you understand how these predictions are made, such as which features of a dataset contribute most to a prediction. You can score machine learning models to get a better understanding of the quality of the model and its ability to generate reliable predictions.

With MySQL HeatWave AutoML, you can do the following:

• Classify Data

• Perform Regression Analysis

• Generate Forecasts

• Detect Anomalies

• Generate Recommendations

• Topic Modeling