Cloud-Based Machine LearningLaajuus (5 cr)

Objective

The student is familiar with common machine learning models supported by online platforms for machine learning. The student can create custom machine learning applications in the cloud without having to write complex code.

Content

Machine learning models supported by the largest cloud providers: binary prediction, category prediction and value prediction.

Building, training and deploying machine learning model in the cloud:
- Preparing the data
- Training the model to learn from the data
- Deploying the model
- Evaluate the model's performance

Assessment criteria, satisfactory (1)

The student can implement a machine learning application in the cloud.

Assessment criteria, good (3)

The student can implement machine learning applications in the cloud using different models.

Assessment criteria, excellent (5)

The student can implement machine learning applications in the cloud using different models and cloud machine learning services.