Machine Learning Life Cycle at Life

Machine Learning Life Cycle. Ad find the right instructor for you. In future articles, you'll learn how to build a machine learning model, implement hyperparameter tuning, and deploy a model as a rest service.

Thus, the machine learning life cycle can be visualized as following: Data preparation, model creation, and deployment. The machine learning life cycle is the cyclical process that data science projects follow.

It defines each step that an organization should follow to take advantage of machine learning and artificial intelligence (ai) to derive practical business value. Ad find the right instructor for you. As with any system, even deployed machine learning models need to be monitored, maintained, and updated. Thus, the machine learning life cycle can be visualized as following: