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[Data Science] 2. Master Tail bound Theorem
[Data Science] 2. Master Tail bound Theorem
Based on the introduction to the Markov’s and Chebyshev’s inequality in the last chapter, the main purpose of this chapter is to show the…
jun94
May 4, 2020
[Data Science] 1. Expectation, Variance, Law of large numbers
[Data Science] 1. Expectation, Variance, Law of large numbers
This article assumes the readers have basic fundamental concepts of Random variables and the probability density functions(PDF).
jun94
Apr 20, 2020
[DL] 9. CNN2 (Structure and Architecture of CNN)
[DL] 9. CNN2 (Structure and Architecture of CNN)
Basic Structure and variance of CNN(VGG, AlexNet, ResNet, DenseNet)
jun94
Mar 19, 2020
[ML] 1. Maximum Likelihood(ML) and Maximum A Posteriori(MAP) Estimation
[ML] 1. Maximum Likelihood(ML) and Maximum A Posteriori(MAP) Estimation
Bayes rule, Maximum Likelihood(ML), Maximum A Posteriori(MAP)
jun94
Mar 26, 2020
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