Analyzing Algorithmic Complexity

Machine learning (ML) and complexity are not synonymous. In fact, machine learning is a way to wade through complexities posed by the data. But, what if we try to examine the level of algorithmic complexity before applying the ML algorithms? Most of the ML algorithms are definite answers to solve complexities and arrive at an optimal solution. Yet, some algorithms have complexities that can make us contemplate the level of expertise to examine and use them; and to apply them for getting the best results.