### What is Underfitting?

Underfitting occurs when a model fails to capture the complexity of the training data and thus is a poor representation of the relationship between the features and the target.

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Classical statistics tends to focus more on the process of inference, or learning from data, while in Machine Learning, prediction accuracy is usually more of interest.

Machine learning is a method of teaching computers to learn from data, without being explicitly programmed.

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- Machine Learning 101 (30)
- Statistics 101 (38)
- Supervised Learning (114)
- Regression (42)
- Classification (46)
- Logistic Regression (10)
- Support Vector Machine (10)
- Naive Bayes (4)
- Discriminant Analysis (5)
- Classification Evaluations (9)

- Classification & Regression Trees (CART) (23)

- Unsupervised Learning (55)
- Clustering (28)
- Distance Measures (9)
- Dimensionality Reduction (9)

- Deep Learning (23)
- Data Preparation (34)
- General (5)
- Standardization (6)
- Missing data (7)
- Textual Data (16)