- What is the task for solving ML that requires more experience and insight from the data scientist?
A) The algorithm selection
B) The feature selection
C) The model
- What is the relationship between ML and deep learning?
A) ML covers many algorithms and deep learning only algorithms to find deep features.
B) Deep learning is a subset of ML.
C) Deep learning deals with all of the ML algorithms except neural networks.
- How should you integrate an ML task with a ROS application?
A) You should train the model outside and then provide ROS with a file of results.
B) You have the choice of using publish/subscribe, a ROS service, or an action server.
C) You have to use the specific communication protocol of the ML model.
- What is the main difference between the publish/subscribe mechanism and the ROS service mechanism?
A) ROS service is synchronous while publish/subscribe is...
