Conclusion

Congratulations completing this module. To recap, here is what we covered:

• Integration is the inverse of differentiation
• The integral can be interpreted as the area under the curve and can be approximated by Riemann sums
• Integration respects the properties of linearity
• Integration by parts and the change of variables techniques allow us to integrate more complicated functions for which an immediate primitive does not exist.

You will soon see how a basic understanding of integration is helpful, particularly in modules involving probability distributions. In turn, working with probability distributions often helps us quantify uncertainty, which is often a key task when deploying ML/AI systems in the real world.