왜 확률을 배워야 하는가?

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Grossary

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머신러닝과 관련된 수학 이론

• Naive Bayes
• Linear Regression
• Logistic Regression
• Maximum Likelihood Estimation (Frequentist)
• Maximum a Posteriori Estimation (Bayesian)
• KL Divergence
• Cross Entropy
• Pearson correlation

References

1. https://machinelearningmastery.com/why-learn-probability-for-machine-learning/
2. https://www.analyticsvidhya.com/blog/2017/09/naive-bayes-explained/
3. https://www.investopedia.com/terms/p/posterior-probability.asp
4. https://www.saedsayad.com/naive_bayesian.htm
5. https://www.image.ucar.edu/pub/TOY07.4/nychka2a.pdf