├── .gitignore ├── Deep-Learning └── Part-I │ └── Chap-02-Linear-Algebra │ ├── 02-01-Scalars-Vectors-Matrices-and-Tensors.ipynb │ ├── 02-02-Multiplying-Matrices-and-Vectors.ipynb │ ├── 02-03-Identity-and-Inverse-Matrices.ipynb │ ├── 02-04-Linear-Dependence-and-Span.ipynb │ ├── 02-05-Norms.ipynb │ ├── 02-06-Special-Kinds-of-Matrices-and-Vectors.ipynb │ ├── 02-07-Eigendecomposition.ipynb │ ├── 02-08-Singular-Value-Decomposition.ipynb │ ├── 02-09-The-Moore-Penrose-Pseudoinverse.ipynb │ ├── 02-10-The-Trace-Operator.ipynb │ ├── 02-11-The-Determinant.ipynb │ └── 02-12-Example-Principal-Components-Analysis.ipynb ├── Pattern-Recognition-and-Machine-Learning ├── Appendix │ ├── Appendix-D-Calculus-of-Variations.ipynb │ ├── Appendix-E-Lagrange-Multipliers.ipynb │ └── Humor-Sans.ttf ├── Chap-01-Introduction │ ├── 01-01-Example-Polynomial-Curve-Fitting.ipynb │ ├── 01-02-Probability-Theory.ipynb │ ├── 01-03-Model-Selection.ipynb │ ├── 01-04-The-Curse-of-Dimensionality.ipynb │ ├── 01-05-Decision-Theory.ipynb │ ├── 01-06-Information-Theory.ipynb │ └── Humor-Sans.ttf ├── Chap-02-Probability-Distributions │ ├── 02-01-Binary-Variables.ipynb │ ├── 02-02-Multinomial-Variables.ipynb │ ├── 02-03-The-Gaussian-Distribution.ipynb │ ├── 02-04-The-Exponential-Family.ipynb │ └── 02-05-Nonparametric-Methods.ipynb ├── Chap-03-Linear-Models-for-Regression │ ├── 03-01-Linear-Basis-Function-Models.ipynb │ ├── 03-02-The-Bias-Variance-Decomposition.ipynb │ ├── 03-03-Bayesian-Linear-Regression.ipynb │ └── 03-04-Bayesian-Model-Comparison.ipynb ├── Chap-04-Linear-Models-for-Classification │ └── 04-01-Discriminant-Functions.ipynb └── Chap-09-Mixture-Models-and-EM │ └── 09-01-K-means-Clustering.ipynb ├── ReadMe.ipynb └── ReadMe.md /.gitignore: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/lijin-THU/notes-machine-learning/HEAD/.gitignore -------------------------------------------------------------------------------- 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