Course of Machine Learning for Biomedical Data - TECNUN University of Navarra.
This repository contains two main folders: docs and lectures.
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In the docs folder you will find documents about R, Python, Machine Learning, Deep Learning and Artificial Intellegence
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In the lectures folder you will find the neccesary material to follow the session. After having the session, the "lectures" folder will be updated with the solution of the challenges proposed in the session.
SESSION CONTENTS AND FILES
| Session | Lecturer | MODULE | FILES |
|---|---|---|---|
| Session 0 | Fernando Carazo | Roche Conference of Precision Medicine | Link to Roche |
| Session 1 | Fernando Carazo | MODULE 1: Heart Attack prediction | - 01.01 - 01.02 train, test, valid. Overfitting. crossvalidation. |
| Session 2 | Fernando Carazo | MODULE 1: Heart Attack prediction | - 02.01 normalization, box-cox, missing values: create your problem, recipes - Recipes package - Ordering of Steps |
| Session 3 | Fernando Carazo | MODULE 1: Heart Attack prediction | - 03.01_S3_heart-disease-UCI-hw.Rmd - 03.02_S3_Caret-simple-model_COX2 - recipes - caret/available-models - Present challenge in ADI |
| Session 4 | Fernando Carazo | MODULE 2: Breast Cancer (ML with python) | - Onenote, 04.01_CART.pptx - 04.02_Decision_Trees-hw.ipynb - solution tree by hand |
| Session 5 | Fernando Carazo | MODULE 2: Breast Cancer (ML with python) | - Bagging and Random Forest - GIT - bagging tutorial - Bagging vs Boosting |
| Session 6 | Fernando Carazo | MODULE 3: Deep Learning | - Deep Neural Networks with PyTorch. - Tensors, gradients, weights and biases, Gradient descent, SGD - Homeworks: DL with hidden layers from scratch, Read DataLoaders doc 06.02 |
| Session 7 | Fernando Carazo | MODULE 3: Deep Learning | - DNN application 1 with Tensorflow. Autoencoders - Application to heart ECG detection |
| Session 8 | Fernando Carazo | MODULE 3: Deep Learning | - Deep Learning with Keras and Tensorflow - Keras API |
| Session 9 | Idoia Ochoa | MODULE 3: Deep Learning | - Advanced NNs: Regularization, Dropout, optimizers |
| Session 10 | Idoia Ochoa | MODULE 3: Deep Learning | - CNNs 1 |
| Session 11 | Idoia Ochoa | MODULE 3: Deep Learning | - CNNs 2 |