Name		Name	Last commit message	Last commit date
Latest commit History 18 Commits
.ipynb_checkpoints		.ipynb_checkpoints
Data		Data
Images		Images
MNIST_data		MNIST_data
sompylib		sompylib
01_Introduction_to_Machine_Learning_and_Engineering_Applications_20180220.ipynb		01_Introduction_to_Machine_Learning_and_Engineering_Applications_20180220.ipynb
02_Least_Squares_Method_Regression_Gradient_Descent_20180227.ipynb		02_Least_Squares_Method_Regression_Gradient_Descent_20180227.ipynb
03_Ensemble_Models_in_Practice_20180306.ipynb		03_Ensemble_Models_in_Practice_20180306.ipynb
04_Clustering_Kmeans_SOM_20180327.ipynb		04_Clustering_Kmeans_SOM_20180327.ipynb
05_PCA_Auto_Encoders_20180417.ipynb		05_PCA_Auto_Encoders_20180417.ipynb
06_1_Machinelearning_Applications_Structural_Engineering.ipynb		06_1_Machinelearning_Applications_Structural_Engineering.ipynb
06_2_Machinelearning_Applications_Structural_Engineering.pdf		06_2_Machinelearning_Applications_Structural_Engineering.pdf
07_Machinelearning_Applications_remote_sensing.pdf		07_Machinelearning_Applications_remote_sensing.pdf
08_Introduction_to_Representation_Learning_Fourier_Analysis_20180522.ipynb		08_Introduction_to_Representation_Learning_Fourier_Analysis_20180522.ipynb
09_Introduction_to_Representation_Learning_Convolutional_Neural_Nets_20180529.ipynb		09_Introduction_to_Representation_Learning_Convolutional_Neural_Nets_20180529.ipynb
Machine_Learning_Applications_2018.docx		Machine_Learning_Applications_2018.docx
README.md		README.md
Schedule.xlsx		Schedule.xlsx
getngrams.py		getngrams.py
getngrams.pyc		getngrams.pyc
points1.geojson		points1.geojson
pointsclust.geojson		pointsclust.geojson
viz_dynamic.html		viz_dynamic.html

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data_driven_modeling_2018

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Codes and presentations for Data Driven Modeling course at ETH Zurich, chair for Computer Aided Architectural Design (CAAD) 2018

nbviewer.jupyter.org/github/sevamoo/data_driven_modeling_2018/tree/master/

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