10 Machine Learning Questions - ANSWERED!

We cover 10 machine learning interview questions. Have you had interesting interview experiences you'd like to share? Leave them in the comments!

REFERENCES

[1] Interview Questions: https://www.springboard.com/blog/machine-learning-interview-questions/
[2] More Questions: https://www.springboard.com/blog/data-science-interview-questions/
[3] Generative Vs Discriminative : https://stats.stackexchange.com/questions/12421/generative-vs-discriminative
[4]: What is Bayes Rule: http://www.askamathematician.com/2011/10/q-what-is-bayes-rule-and-how-do-i-use-it-in-daily-life/
[5] (Followup) The likelihood function is not PDF: https://stats.stackexchange.com/questions/31238/what-is-the-reason-that-a-likelihood-function-is-not-a-pdf
[6] Cross Validation for time series: https://robjhyndman.com/hyndsight/tscv/
[7] SMOTE: https://jair.org/index.php/jair/article/view/10302
[8] Combating Imbalanced Data: https://www.analyticsvidhya.com/blog/2017/03/imbalanced-classification-problem/
[9] Understanding ROC: https://towardsdatascience.com/understanding-auc-roc-curve-68b2303cc9c5
[10] Publiclly available datasets: https://www.springboard.com/blog/free-public-data-sets-data-science-project/
[11] Probability Vs Likelihood: https://stats.stackexchange.com/questions/2641/what-is-the-difference-between-likelihood-and-probability

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