40 Machine Learning Questions

There is a good list of 40 ML Interview Questions [1], which could be used to check our general ML knowledge.  Please visit the original blog for the Q & As, we here just classify them, and provide additional comments as we gain better understandings ourselves.

Contents covered by the DSB book: Data Science for Business: What You Need toKnow About Data Mining and Data-Analytic Thinking  (Foster Provost, Tom Fawcett):

• Statistics: Q3, Q13, Q17, Q19, Q20, Q30
• Machine Learning Techniques: Q4, Q5, Q11, Q12, Q21, Q22, Q26, Q28, Q29, Q33 (diagree with answer), Q37

Contents related to special topics not covered in DSB:

• Linear Model and PCA: Q2, Q7, Q10, Q14, Q15, Q32

Contents overlapped with our notes:

• What is Machine Learning: Q8, Q34
• Learning Theory: Q16
• Regularization & Cross Validation: Q6, Q9, Q23, Q24, Q27, Q31, Q36, Q38, Q39, Q40
• Linear Models: Q1, Q18, Q35
• SVM: Q25

Reference

1. https://www.analyticsvidhya.com/blog/2016/09/40-interview-questions-asked-at-startups-in-machine-learning-data-science/