Gradient Boosting
/ˈɡreɪ.di.ənt ˈbuː.stɪŋ/
noun … “learning from mistakes, one step at a time.”
Random Forest
/ˈrændəm fɔːrɪst/
noun … “many trees, one wise forest.”
Logistic Regression
/ˈlɒdʒ.ɪ.stɪk rɪˈɡrɛʃ.ən/
noun … “predicting probabilities with a curve, not a line.”
Lasso Regression
/ˈlæs.oʊ rɪˈɡrɛʃ.ən/
noun … “OLS with selective pruning.”
Ridge Regression
/rɪdʒ rɪˈɡrɛʃ.ən/
noun … “OLS with a leash on wild coefficients.”
Ordinary Least Squares
/ˈɔːr.dən.er.i liːst skwɛərz/
noun … “fitting a line to tame the scatter.”
Ordinary Least Squares (OLS) is a fundamental method in statistics and regression analysis used to estimate the parameters of a linear model by minimizing the sum of squared differences between observed outcomes and predicted values. It provides the best linear unbiased estimates under classical assumptions, allowing analysts to quantify relationships between predictor variables and a response variable while assessing the strength and direction of these relationships.
Fourier Transform
/ˈfʊr.i.ɛr ˌtrænsˈfɔːrm/
noun … “the secret language of frequencies.”
SARIMA
/sɛˈriː.mə/
noun … “ARIMA with a seasonal compass.”
AutoRegressive Integrated Moving Average
/ɑːrˈɪ.mə/
noun … “the Swiss army knife of time-series forecasting.”
Dimensionality Reduction
/ˌdɪˌmɛn.ʃəˈnæl.ɪ.ti rɪˈdʌk.ʃən/
noun … “simplifying the world by keeping only what matters.”