Free IBM C1000-059 Practice Exam with Questions & Answers | Set: 2

In a hyperparameter search, whether a single model is trained or a lot of models are trained in parallel is largely determined by?

Considering one ML application is deployed using Kubernetes, its output depends on the data which is constantly stored in the model, if needing to scale the system based on available CPUs, what feature should be enabled?

What is the best step by step order for machine learning pipeline?

The least squares optimization technique (The Method of Least Squares) is used in which algorithm?

What is an example of a supervised machine learning algorithm that can be applied to a continuous numeric response variable?

Which fine-tuning technique does not optimize the hyperparameters of a machine learning model?

What is meant by part-of-speech tagging in the context of text analytics?

What is the main difference between traditional programming and machine learning?