Commit cecfe097 authored by Florent Chatelain's avatar Florent Chatelain
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reset 21-22

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# SICOM 3A and Master SIGMA program: Statistical/Machine learning course
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## `News`
- For the interested students, we can find [here](https://gricad-gitlab.univ-grenoble-alpes.fr/chatelaf/ml-sicom3a/-/tree/master/notebooks/X_deep_learning) two demo/tutorial notebooks on deep learning for image classification (convolutional neural nets) with the tensorflow 2.X platform and Keras API.
- For students who have to stay at home for health reasons, and *only those who can't attend the face-to-face course*, there is a zoom link (see the [chamilo page](https://chamilo.grenoble-inp.fr/courses/PHELMA5PMSAST6/index.php?) of the course) to participate in
- For students who have to stay at home for health reasons, and *only those who can't attend the face-to-face course*, there is a zoom link (see the [chamilo page](https://chamilo.grenoble-inp.fr/courses/PHELMA5PMSAST6/index.php?) of the course) to participate in
videoconference to the class every monday from 15:45 to 17:45.
##### Lab7 instructions (Friday, October 23)
......@@ -68,13 +69,15 @@ videoconference to the class every monday from 15:45 to 17:45.
- ~~upload your lab 1 *short report* in the [chamilo assigment task](https://chamilo.grenoble-inp.fr/main/work/work_list.php?cidReq=PHELMA5PMSAST6&id_session=0&gidReq=0&gradebook=0&origin=&id=117582) (pdf file from your editor, or scanned pdf file of a handwritten paper;
code, figures or graphics are not required)~~
##### ~~Homework before the second course on **Monday, September 14**~~
- ~~read and run the [introduction notebooks](https://gricad-gitlab.univ-grenoble-alpes.fr/chatelaf/ml-sicom3a/-/tree/master/notebooks/1_introduction/) `N1_Linear_Classification.ipynb` and `N2_Polynomial_Classification_Model_Complexity.ipynb`~~
- ~~answer the questions of the notebook exercises and upload it (pdf file from your editor, or scanned pdf file of a handwritten sheet) under chamilo in the [assignment tool](https://chamilo.grenoble-inp.fr/main/work/work_list.php?cidReq=PHELMA5PMSAST6&id_session=0&gidReq=0&gradebook=0&origin=&id=117272) (those and only those who do not yet have an agalan account can send it to me by email):~~
- ~~only text explanations are required, no need to copy/paste figure or graphics!~~
- ~~must not exceed half a length of A4 paper~~
-->
##### ~~first course session will take place Monday afternoon, September 7 at Minatec (face-to-face).~~
##### Homework before the second course on **Friday, September 14**
- read and run the [introduction notebooks](https://gricad-gitlab.univ-grenoble-alpes.fr/chatelaf/ml-sicom3a/-/tree/master/notebooks/1_introduction/) `N1_Linear_Classification.ipynb` and `N2_Polynomial_Classification_Model_Complexity.ipynb`
- answer the questions of the notebook exercises and upload it (pdf file from your editor, or scanned pdf file of a handwritten sheet) under chamilo in the [assignment tool](https://chamilo.grenoble-inp.fr/main/work/work_list.php?cidReq=PHELMA5PMSAST6&id_session=0&gidReq=0&gradebook=0&origin=&id=117272) (those and only those who do not yet have an agalan account can send it to me by email):
- only text explanations are required, no need to copy/paste figure or graphics!
- must not exceed half a length of A4 paper
##### First course session will take place Monday afternoon, September 13 at Minatec M256 (face-to-face).
## Welcome to the Statistical Learning course!
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