머신러닝을 위한 파이썬

split&join, List comprehensions, Enumerate&Zip, MapReduce, Asterisk

Vector의 계산, Matrix의 계산

News Categorization을 위한 방법

numpy 코드 작성 방법(ndarray, handling shape, indexing, slicing, creation function, operation functions, array operations, comparisons, boolean index)

pandas, series, dataframe, selection&drop, dataframe operation, lambda, map, apply

groupby, hierarchical index, pivot table, merge&concat, join, DB persistence

Data visualization - matplotilb

Data preprocessing issues, Missing data, Feature scaling, Category data

gradient descent based learning, cost function 미분

Normal equation

gradient descent

Performance measure의 종류(RMSE, MAE, R squared), Training&Test data set, w/sklearn

Stochasitc Gradient Descent, Full-batch gradient descent, Mini-batch Stochastic Gradient Descent, Learning-rate decay,

overfitting, regularization

Logistic Regression, Classification Problem