|**G3** | O. Michel |**MARS**+foreign students| 25oct | 29oct | 8nov | 10nov| 10nov| 15nov | 22 nov |
##### Lab8
-**HW: To do before the lab session:** re-read the
the lesson ([slides](https://gricad-gitlab.univ-grenoble-alpes.fr/ai-courses/autonomous_systems_ml/-/blob/master/slides/10_MLPC_NN_2020.pdf)) on MiltiLayer Perceptrons and Neural Networks.
- Lab8 statement on Tree based method for unsupervised classification and regression problems is [here](https://gricad-gitlab.univ-grenoble-alpes.fr/ai-courses/autonomous_systems_ml/-/tree/master/labs/lab8_statement.md)
-**Except if your supervisor give you another instruction** upload at the end of the session your lab 8 short report in the [chamilo assigment task](https://chamilo.grenoble-inp.fr/main/work/work_list.php?cidReq=ENSE3WEUMAIA0&id_session=0&gidReq=0&gradebook=0&origin=&id=203024&isStudentView=true)(pdf file from your editor, or scanned pdf file of a handwritten paper; *code, figures or graphics are not required!*)
##### Lab7
...
...
@@ -87,12 +94,12 @@ the lesson ([slides](https://gricad-gitlab.univ-grenoble-alpes.fr/ai-courses/aut
- Lab7 statement on Tree based method for unsupervised classification and regression problems is [here](https://gricad-gitlab.univ-grenoble-alpes.fr/ai-courses/autonomous_systems_ml/-/tree/master/labs/lab7_statement.md)
-**Except if your supervisor give you another instruction** upload at the end of the session your lab 7 short report in the [chamilo assigment task](https://chamilo.grenoble-inp.fr/main/work/work_list.php?cidReq=ENSE3WEUMAIA0&id_session=0&gidReq=0&gradebook=0&origin=&id=203024&isStudentView=true)(pdf file from your editor, or scanned pdf file of a handwritten paper; *code, figures or graphics are not required!*)
##### Lab6
##### ~~ Lab6 ~~
-**HW: To do before the lab session:** re-read the
the lesson ([slides](https://gricad-gitlab.univ-grenoble-alpes.fr/ai-courses/autonomous_systems_ml/-/blob/master/slides/8_clustering.pdf)) on clustering methods, with focus on K-Means and EM algorithm. Read slides 1 to 37.
- Lab6 statement on clustering methods is [here](https://gricad-gitlab.univ-grenoble-alpes.fr/ai-courses/autonomous_systems_ml/-/tree/master/labs/lab6_statement.md)
-**Except if your supervisor give you another instruction** upload at the end of the session your lab 6 short report in the [chamilo assigment task](https://chamilo.grenoble-inp.fr/main/work/work_list.php?cidReq=ENSE3WEUMAIA0&id_session=0&gidReq=0&gradebook=0&origin=&id=153447&isStudentView=true)(pdf file from your editor, or scanned pdf file of a handwritten paper; *code, figures or graphics are not required!*)
-~~~ **HW: To do before the lab session:** re-read the
the lesson ([slides](https://gricad-gitlab.univ-grenoble-alpes.fr/ai-courses/autonomous_systems_ml/-/blob/master/slides/8_clustering.pdf)) on clustering methods, with focus on K-Means and EM algorithm. Read slides 1 to 37. ~~
-~~~ Lab6 statement on clustering methods is [here](https://gricad-gitlab.univ-grenoble-alpes.fr/ai-courses/autonomous_systems_ml/-/tree/master/labs/lab6_statement.md) ~~
-~~~ **Except if your supervisor give you another instruction** upload at the end of the session your lab 6 short report in the [chamilo assigment task](https://chamilo.grenoble-inp.fr/main/work/work_list.php?cidReq=ENSE3WEUMAIA0&id_session=0&gidReq=0&gradebook=0&origin=&id=153447&isStudentView=true) ~~ (pdf file from your editor, or scanned pdf file of a handwritten paper; *code, figures or graphics are not required!*)
