├── .gitignore ├── README.md ├── SUMMARY.md ├── assets ├── Screen Shot 2017-10-19 at 5.57.54 PM.png ├── Screen Shot 2017-10-27 at 9.49.43 PM.png ├── Screen Shot 2017-10-28 at 10.14.07 PM.png ├── Screen Shot 2017-10-29 at 1.29.40 AM.png ├── Screen Shot 2017-10-30 at 11.21.20 AM.png ├── Screen Shot 2017-11-03 at 00.20.49.png ├── Screen Shot 2017-12-02 at 15.12.59.png ├── Screen Shot 2017-12-02 at 15.13.22.png ├── Screen Shot 2017-12-02 at 15.24.38.png ├── Screen Shot 2017-12-02 at 15.38.15.png ├── Screen Shot 2017-12-02 at 15.39.05.png ├── Screen Shot 2017-12-02 at 16.03.59.png ├── Screen Shot 2017-12-02 at 16.13.04.png ├── Screen Shot 2017-12-02 at 16.15.11.png ├── Screen Shot 2017-12-02 at 16.15.52.png ├── conv_matrix.png ├── maxpooling.png ├── multiplefilters.png ├── onecnnstructure.png ├── onelayercnn.png ├── parametersharing.png ├── ps.png └── stridedconvolution.png ├── book.json ├── classification ├── .DS_Store ├── logistic-regression.md ├── svm.md └── tree │ ├── c45cart.md │ ├── randomforests.md │ └── xgboost.md ├── clustering └── README.md ├── code ├── conv_blocks.py ├── conv_blocks_test.py ├── im2col.py └── readme.md ├── deep-learning ├── basics.md ├── cnn.md └── cnn │ ├── classic-networks.md │ ├── cnn_blocks.md │ ├── cnnblocks.md │ └── data-agumentation.md ├── ensemble ├── adaboost.md ├── gradient-boosting-decision-tree.md └── metaalgorithms.md ├── frameworks ├── andrew-ngs-guidline.md ├── keras.md ├── pandas.md ├── pytorch.md ├── scikit-learn.md └── tensorflow.md ├── ml101 ├── bias-variance.md ├── generative-model-and-discriminative-models.md ├── l1l2-norm.md ├── mlemapbayesian-method.md ├── optimization.md └── performance-metrics.md ├── preprocess ├── README.md ├── category.md ├── date_loc.md ├── missing_value.md └── numeric.md └── regression └── test.md /.gitignore: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/WeiFoo/NoML/HEAD/.gitignore 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