Commit dfd10a0b authored by Florent Chatelain's avatar Florent Chatelain
Browse files

add hw lab5

parent f747d9d9
......@@ -37,27 +37,22 @@ videoconference to the class every monday from 15:45 to 17:45.
- ~~the introduction to random forest (appendix, slides 43 to 47) is optional~~
- ~~prepare your questions for the course/lab session!~~
-->
##### Homework for **Monday, October 11**
- **read the lesson** ([slides](https://gricad-gitlab.univ-grenoble-alpes.fr/chatelaf/ml-sicom3a/-/blob/master/slides/6_support_vector_machines.pdf)) on support vector machines:
- in first reading you can skip the slides 10 to 18 (on constrained convex optimization),
- the introduction to random forest (appendix, slides 43 to 47) is also optional
- prepare your questions for the course/lab session!
##### ~~Lab4 instructions~~
- ~~Lab4 statement is [here](https://gricad-gitlab.univ-grenoble-alpes.fr/chatelaf/ml-sicom3a/-/blob/master/labs/lab4_statement.md)~~
- ~~upload **at the end of the session** your lab 4 *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=121243) (pdf file from your editor, or scanned pdf file of a handwritten paper; code, figures or graphics are not required)~~
##### ~~Homework for **Monday, October 5**~~
- ~~Finish reading/understanding the notebooks you didn't cover in the previous lab session.~~
##### ~~Homework for **Monday, October 4**~~
- ~~**read the lesson** ([slides](https://gricad-gitlab.univ-grenoble-alpes.fr/chatelaf/ml-sicom3a/-/blob/master/slides/5_linear_models_regularization.pdf)) on lasso and logistic regression: **read up to end of the slides**~~
- ~~prepare your questions for the course/lab session!~~
-->
#### Lab4 instructions
- Lab4 statement is [here](https://gricad-gitlab.univ-grenoble-alpes.fr/chatelaf/ml-sicom3a/-/blob/master/labs/lab4_statement.md)
- upload **at the end of the session** your lab 4 *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=121243) (pdf file from your editor, or scanned pdf file of a handwritten paper; code, figures or graphics are not required)
#### Homework for **Monday, October 4**
- **read the lesson** ([slides](https://gricad-gitlab.univ-grenoble-alpes.fr/chatelaf/ml-sicom3a/-/blob/master/slides/5_linear_models_regularization.pdf)) on lasso and logistic regression: **read up to end of the slides**
- prepare your questions for the course/lab session!
##### ~~Lab3 instructions~~
- ~~Lab3 statement is [here](https://gricad-gitlab.univ-grenoble-alpes.fr/chatelaf/ml-sicom3a/-/blob/master/labs/lab3_statement.md)~~
......
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