# Prioritizing {% embed url="" %} Prioritizing - ML Projects {% endembed %} * The project should have **high impact,** where cheap prediction is valuable for the complex parts of your business process. * The project should have **high feasibility,** which is driven by the data availability, accuracy requirements, and problem difficulty. * Here are 3 types of hard machine learning problems: * (1) The output is complex. * (2) Reliability is required. * (3) Generalization is expected. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://fall2019.fullstackdeeplearning.com/course-content/setting-up-machine-learning-projects/prioritizing.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.