ABSTRACT
Upon completing this chapter, learners should be able to:
Choose a suitable algorithm depending on the problem at hand and the nature of the data.
Explain the key steps for developing a machine learning model.
Describe the concepts of overfitting and underfitting and the strategies to mitigate them.
Apply optimization techniques for machine learning algorithms to enhance model performance.
Explain the key steps for deploying and monitoring machine learning models to ensure continued performance.
