When it comes to providing a detailed answer, there are a few key elements to consider. Let's break it down:

1. Clear and Concise Explanation

Start by providing a clear and concise explanation of the topic. Use simple language and avoid jargon whenever possible. For example, if we were discussing the concept of "machine learning," we could say:

Machine learning is a branch of artificial intelligence that focuses on developing algorithms and models that allow computers to learn and make predictions or decisions without being explicitly programmed.

2. Examples

Support your explanation with relevant examples to help illustrate your points. For instance, continuing with the machine learning example:

One popular application of machine learning is in spam email filtering. By training a machine learning model on a large dataset of labeled emails (spam or not spam), the model can learn to identify patterns and characteristics that distinguish spam emails from legitimate ones. This allows email providers to automatically filter out unwanted messages and keep users' inboxes clean.

3. References

If possible, provide references or sources to back up your explanation and examples. This adds credibility to your answer and allows readers to explore the topic further. Here's an example of how you can incorporate a reference:

According to a study published in the Journal of Machine Learning Research (Vol. 17, No. 1, 2016), researchers achieved an accuracy of 98% in spam email classification using a machine learning approach based on support vector machines.

Remember to properly format your references using HTML tags, such as <cite> or <em>, depending on the style guide you are following.

By following these guidelines, you can provide a detailed answer with examples and references. This not only helps readers understand the topic better but also gives them the opportunity to explore further if they want to.