Summary
In this chapter, we discussed numerical optimization and its applications. We started with a discussion about numerical optimization and its necessary ingredients. Next, we discussed a few of the common numerical optimization methods. We also discussed a few large-scale applications and use cases of numerical optimization. These use cases are very well known in academia as well as in the industry and are implemented by several organizations in their businesses. In addition, we talked about how AWS high-performance compute options and resources can be used to solve numerical optimization methods, and also discussed a few architectural patterns to accomplish this.
Finally, we ended with a short discussion about how various categories of machine learning algorithms employ numerical optimization at their core to build good models. The topics covered in this chapter will help you understand and formulate numerical optimization use cases, how numerical optimization is important...
