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# Workshop: Bioimage analysis applications based on machine learning

* Day 1, part 1
* Content
* Introduction
* Features and scale-space
* Ilastik
* Clustering
* Materials
* [Slides day 1, part 1](https://github.com/MontpellierRessourcesImagerie/mri-workshop-machine-learning/blob/master/day01/part01/presentation.pdf)
* [Exercises day 1, part 1](https://github.com/MontpellierRessourcesImagerie/mri-workshop-machine-learning/blob/master/day01/part01/exercises.pdf)
* Day 1, part 2
* Content
* Support Vector Machines
* Random Forest
* ML with python and jupyter notebook
* CellProfiler Analyst
* Materials
* [Slides day 1, part 2](https://github.com/MontpellierRessourcesImagerie/mri-workshop-machine-learning/blob/master/day01/part02/ML/Presentation/Introduction%20to%20Support%20Vector%20Machines%20%26%20Random%20Forest.pdf)
* Exercises day 1, part 2
* [jupyter notebook](https://github.com/MontpellierRessourcesImagerie/mri-workshop-machine-learning/blob/master/day01/part02/exercises/svm/notebooks/Transfluor_assay_soluce.ipynb)
* [pdf print of the notebook](https://github.com/MontpellierRessourcesImagerie/mri-workshop-machine-learning/blob/master/day01/part02/exercises/svm/notebooks/Transfluor_assay_soluce.pdf)
* [CellProfiler Analyst](https://github.com/MontpellierRessourcesImagerie/mri-workshop-machine-learning/blob/master/day01/part02/exercises/rf/translocation_activity.pdf)
* Day 2
* Content
* Deep Learning Fundamentals
* Deep Learning with convolutional networks
* Materials
* [Formation_Deep_Learning_07062019_Part_1.pdf](https://github.com/MontpellierRessourcesImagerie/mri-workshop-machine-learning/blob/master/day02/Support%20formation/Formation_Deep_Learning_07062019_Part_1.pdf)
* [Formation_Deep_Learning_07062019_Part_2.pdf](https://github.com/MontpellierRessourcesImagerie/mri-workshop-machine-learning/blob/master/day02/Support%20formation/Formation_Deep_Learning_07062019_Part_2.pdf)

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