[Verse 1]
Data flows like a river, patterns we need to find
Machines can learn the answers when we feed the training mind
Supervised learning guides us with examples we provide
Input features map to outputs, algorithms by our side
[Chorus]
Linear for the trends, logistic for the choice
Random forests whisper, CART gives data voice
K-nearest neighbors clustering, SVMs divide
Neural networks firing, machine learning is our guide
[Verse 2]
Regression trees are splitting on the questions that we ask
Classification sorts the data, each model has its task
Support vector machines find boundaries crystal clear
While neural networks layer up, the patterns will appear
[Chorus]
Linear for the trends, logistic for the choice
Random forests whisper, CART gives data voice
K-nearest neighbors clustering, SVMs divide
Neural networks firing, machine learning is our guide
[Bridge]
Unsupervised discovery, no labels in sight
K-means finds the clusters, hierarchical height
PCA reduces dimensions, keeps the signal strong
Deep learning goes deeper, reinforcement learns along
[Verse 3]
Overfitting's dangerous, too perfect on the train
Cross-validation saves us from the memorizing pain
LASSO and ridge regression keep the model lean and tight
Regularization guides us to predictions that are right
[Chorus]
BIC and AIC measure, adjusted R-squared too
Big data structured flowing, unstructured breaking through
Text analytics speaking, NLP understands
Machine learning in finance, data in our hands
[Outro]
From supervised to deep learning, the future's crystal clear
Machine intelligence rising, the algorithms are here