The proper choice of infrastructure also plays a key role in determining the efficiency of the organization's data science platform. Too little, and the algorithms will take too long to execute; too much and you may have a lot of resources remaining unutilized. As such, the latter is preferable to having too little, which thwarts progress and the ability of any machine learning researcher to efficiently perform his or her tasks.