Data scientist Interview Questions

hello， what kind of coding test? Do you still remember the question?

If someone has already done an interview at Teralytics, what kind of code test and statistical questions do they ask?

Hey, any information for an incoming interview!

What are your expectations at this company?

I was shocked...

I think the questions are suitable for the data scientist position interview.

I outlined some steps I would take checking the status quo, such as data integrity, number of experiments run etc.

They are looking for your technical depth and how you approach the problem. Just knowledge of various packages is not enough and a solid understanding of machine learning/deep learning is required

Clustering algorithms can be divided into many types: hierarchical clustering (connectivity-based clustering), centroid-based clustering, density-based clustering and distribution-based clustering . I think the most commonly used clustering algorithm is the k-means clustering algorithm, which is centroid-based clustering. This algorithm use many kinds of initial center types to cluster the whole data into k clusters and calculate distances between each cluster centers and its neighboring data points. Then the centers will change as the distances change. When the center points never change, the algorithm ends. It a recursive algorithm.