I found that Week 4, Assignment 2 was testing our knowledge in ways that are in opposition to the general ethos of the course.I mean that this course is about gaining insight, intuition and the practical tools for ML, where the smaller details like - knowing which numpy function gives you a random univariate normal distribution - are normally provided for us, so that we can focus on the aforementioned broader, more useful aspects of ML/Clustering.The assignment had good content on the whole but the parts which were chosen for write code here could certainly be improved.I hope this is useful feedback and that the assignment is reviewed so that it doesnt needlessly discourage people.
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