· Xiaojing Yang · Statistics
Bias-Variance Trade-off
Bias and variance explain why both too-simple and too-flexible models can fail.
Tag: Machine Learning
- · Xiaojing Yang · Machine Learning
Bias–Variance Trade-off in Machine Learning
A practical diagnosis map for underfitting, overfitting, model complexity, and generalization.
- · Xiaojing Yang · Machine Learning
Cross-Validation for Model Evaluation
Why one split is fragile, how K-fold works, and when cross-validation can mislead in NLP.
- · Xiaojing Yang · Machine Learning
Feature Engineering vs Representation Learning
How traditional ML features connect to embeddings, neural networks, and modern NLP systems.
- · Xiaojing Yang · Machine Learning
Grid Search and Randomized Search
How to tune hyperparameters without confusing search effort with scientific evidence.
- · Xiaojing Yang · Statistics
Linear Regression as a Statistical Model
Linear regression is more than a line: it is a model of signal, noise, assumptions, and explanation.