DevCourse2_ML_Basics

ML Basics - todo

July 15, 2021 less than 1 minute read

정리할 것

ML basics - Technical Parts - Linear Models for Classification

June 27, 2021 less than 1 minute read

ML basics - Linear Models for Classification

June 23, 2021 28 minute read

선형분류의 목표와 방법들

ML basics - Linear Models for Regression

June 23, 2021 15 minute read

선형 기저 함수 모델 가장 단순한 형태의 선형모델

ML basics - Probability Distributions 2

June 20, 2021 20 minute read

가우시안 분포 (Gaussian Distribution)

ML basics - Probability Distributions 1

June 16, 2021 6 minute read

밀도추정(Density Estimation) \(N\)개의 관찰데이터(observations) \(\mathbf{x}_1,\ldots\mathbf{x}_N\)가 주어졌을 때 분포함수 \(p(\mathbf{x})\)를 찾는 것

ML basics - L2 regularization & Decision Region of MultiClassClassifier (python)

June 14, 2021 less than 1 minute read

Appendix Reference https://vivek-singh.medium.com/an-introduction-to-gradient-descent-54775b55ba4f https://jermwatt.github.io/machine_learning_refined/not...

ML basics - Linear Algebra

June 10, 2021 24 minute read

왜 선형대수를 알아야 하는가?

ML basics - Decision Theory & Linear Regression

June 7, 2021 6 minute read

Deep Learning Model’s Outcome is the Probability of the Variable X

ML basics - MSE & MAE

June 6, 2021 4 minute read

Dataset   Restaurant Location Cuisines AverageCost MinimumOrder Rating Votes Reviews De...

ML basics - Probability Part 2

June 2, 2021 10 minute read

Deep Learning Model’s Outcome is the Probability of the Variable X

ML basics - Probability Part 1

June 1, 2021 3 minute read

Deep Learning Model’s Outcome is the Probability of the Variable X