I had a one-hour phone interview. During the first half hour, we discussed my experience in Machine Learning and I was asked questions such as: How does a Decision Tree work? Why would you choose SVM over other algorithms? etc.

The second half hour was spent on coding to solve a shortest path question between two nodes in a graph.

After the phone interview, I received an on-site invitation to their HQ.

There were five sessions, including one with the hiring manager. The remaining four technical sessions covered:

• Algorithm
• Data coding
• Data mining / Machine Learning
• Product design

Overall, it was a very pleasant process.

Implement a sampling function with a normal distribution.

Find the point where the sum of distances to all other points is minimized.

Code to find the median in a list of numbers.

How could you minimize the inter-correlation between variables with Linear Regression?

Why the Logit function for Logistic Regression, and what is the log-loss function (log-likelihood function)?