Sunday, June 11, 2017

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