Very nice and friendly.
Phone interview with questions about my CV:
Describe a project you did, technical questions about the models I used.
Will follow with 2 extra interviews: one for ML knowledge and another for coding.
Interview questions [1]
Question 1
Difference between L1 and L2 regularizations
Regression algorithm
Random forest algorithm
I applied online. The process took 5 days. I interviewed at Data Science Group
Interview
After screening my cv a phone interview was schedualed of 15 min. I had several questions in 10 min interview. I didn't pass the interview but they say that once passed there is a 2 hour coding test in their office.
Interview questions [1]
Question 1
Asking about topics from my cv: supervised&unsupervised learning mostly.
1)What is linear regression ? error and reguarization methods (L1&L2)
2)How to determine k in k-means?
3)difference between GMM and k-means.
4)Explain PCA.
5)How to decide how many PC (in PCA) to use?
5)What is t-SNE?
6)Explain the difference between bootstrap and bagging and give example for one model for each one of them.
I applied through an employee referral. The process took 1 week. I interviewed at Data Science Group (Tel Aviv-Yafo) in May 2019
Interview
I applied through an employee. After a week I got a mail from the office manager in the company in order to schedule a phone interview with one of the co-founders. We scheduled the phone call for 2 days later. A day after this interview I got a rejection mail.
Interview questions [2]
Question 1
What is linear regression? Why do we use square loss instead of absolute value?