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Updated Machine Learning / Statistics
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Expand Up @@ -84,34 +84,35 @@ Also see this list of [Bio-imaging courses offered by Quebec Universities](https

### Polytechnique Montréal

| Code | Title / Notes | Lang. | Prof. |
| ----------------------------------------------------------------------- | ----------------------------------------------------------------------------------------------------------------- | -------- | ------------------ |
| [INF8245E](https://chandar-lab.github.io/INF8245E/) | Machine Learning | English | Sarath Chandar |
| [INF8250E](https://chandar-lab.github.io/INF8953DE/) | Reinforcement Learning | English | Sarath Chandar |
| MTH6312 | <p>Méthodes statistiques d'apprentissage</p><p><em>(trés théorique)</em></p> | Français | Partovi Nia, Vahid |
| MTH6305A | Reconnaissance de formes: approches statistiques | Français | |
| [INF6953H](https://www.polymtl.ca/programmes/cours/cspec-deep-learning) | C.SPÉC.: Deep Learning | English | Chris Pal |
| [MTH3302](http://www.polymtl.ca/etudes/cours/details.php?sigle=MTH3302) | Probabilité et statistiques pour intelligence artificielle | Français | Jonathan Jalbert |
| [INF8215](http://www.polymtl.ca/etudes/cours/details.php?sigle=INF8215) | Intelligence artif.: méthodes et algorithmes | Français | Daniel Aloise |
| [INF8225](http://www.polymtl.ca/etudes/cours/details.php?sigle=INF8225) | <p>I.A.: tech. probabilistes et d'apprentissage</p><p><em>(Cours intense. Qui l'a pris: Andréanne Lemay)</em></p> | Français | Chris Pal |
| Code | Title / Notes | Credits | Lang. | Prof. |
| ----------------------------------------------------------------------- | -----------------------------------------------------------------------------| -------- | -------- | ------------------ |
| [INF8245E](https://chandar-lab.github.io/INF8245E/) | Machine Learning | 3 | 🇬🇧 | Sarath Chandar |
| [INF8250E](https://chandar-lab.github.io/INF8953DE/) | Reinforcement Learning | 3 | 🇬🇧 | Sarath Chandar |
| [MTH6312](https://www.polymtl.ca/programmes/cours/methodes-statistiques-dapprentissage) | Méthodes statistiques d'apprentissage <br> _Trés théorique_ | 3 | 🇫🇷 | Luc Adjengue |
| [MTH6305A](https://www.polymtl.ca/programmes/cours/reconn-de-formes-approches-statistiques) | Reconnaissance de formes: approches statistiques | 3 | 🇫🇷 | ? |
| [INF6953H](https://www.polymtl.ca/programmes/cours/cspec-deep-learning) | C.SPÉC.: Deep Learning | 3 | 🇬🇧 | Chris Pal |
| [MTH3302](http://www.polymtl.ca/etudes/cours/details.php?sigle=MTH3302) | Probabilité et statistiques pour intelligence artificielle | 3 | 🇫🇷 | Jonathan Jalbert |
| [INF8215](http://www.polymtl.ca/etudes/cours/details.php?sigle=INF8215) | Intelligence artif.: méthodes et algorithmes | 3 | 🇫🇷 | Daniel Aloise |
| [INF8225](http://www.polymtl.ca/etudes/cours/details.php?sigle=INF8225) | I.A.: tech. probabilistes et d'apprentissage <br> _Cours intense (Andréanne)_| 3 | 🇫🇷 | Chris Pal |

### Université de Montréal

| Code | Title / Notes | Lang. | Prof |
| ----------------------------------------------------------------------------------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | -------- | -------------------- |
| [BIO 2043B](https://www.neuro.polymtl.ca/\_media/internal\_resources/pcbio2043b\_a16.pdf) | <p>Statistique pratique pour sciences de la vie</p><p><em>First 4 courses not really relevant</em></p><p><em>Last 4 courses interesting</em></p><p><em>(Pearson correlation, Kendall correlation,</em></p><p><em>Simple and Multiple Regression, ANOVA)</em></p> | Français | |
| [IFT6268](https://sites.google.com/view/ift6268-a2020/course-description?authuser=0) | Self-Supervised Representation Learning | English | Aaron Courville |
| [IFT6269](https://www.iro.umontreal.ca/\~slacoste/teaching/ift6269/A20/) | <p>Probabilistic Graphical Models</p><p><em>(Given in Fall. Math heavy, assignment with proofs + coding exercises. Really interesting course! Who took: Naga Karthik)</em> </p> | English | Simon Lacoste-Julien |
| [IFT6135](https://sites.google.com/view/ift6135-h2021) | <p>Representation Learning</p><p><em>(Given in Winter. Intense course but very rewarding. Who took: Naga Karthik)</em></p> | English | Aaron Courville |
| [IFT6167](https://sites.google.com/view/nsl-course/) | Neural Scaling Laws and Foundation Models [outline](https://sites.google.com/view/nsl-course/course-description) <p><em>(Easy course, project-based. Who took: Naga Karthik)</em> </p> | English | Irina Rish |
| [IFT6760](https://admission.umontreal.ca/rechercher/?q=ift+6760&target=admission&cx=011926736769028447783%3Aqlpu3so2kqq&ie=UTF-8) | Seminars in deep learning | ? | ? |
| Code | Title / Notes | Credits | Lang. | Prof |
| ----------------------------------------------------------------------------------------- | -----------------------------------------------------------| -------- | -------- | -------------------- |
| [BIO2043B](https://admission.umontreal.ca/cours-et-horaires/cours/bio-2043/) | Statistique pratique pour sciences de la vie <br> _First 4 classes not really relevant, Last 4 classes interesting, on Pearson, Kendall correlation, Multiple Regressions, ANOVA (Maxime)_ | 3 | 🇫🇷 | ? |
| [IFT6268](https://admission.umontreal.ca/cours-et-horaires/cours/ift-6268/) | Self-Supervised Representation Learning | 4 | 🇬🇧 | Aaron Courville |
| [IFT6269](https://www-labs.iro.umontreal.ca/~slacoste/teaching/ift6269/) | Probabilistic Graphical Models <br> _Given in Fall. Math heavy, assignment with proofs + coding exercises. Really interesting course! (Naga)_ | 4 | 🇬🇧 | Simon Lacoste-Julien |
| [IFT6135H](https://sites.google.com/view/ift6135b-h2023/course-description) | Representation Learning <br> _Intense course but very rewarding (Naga)_ | 4 | 🇬🇧 | Aaron Courville |
| [IFT6167H](https://sites.google.com/view/nsl-course/schedule) | Neural Scaling Laws and Foundation Models <br> _Easy course, project-based (Naga)_ | 4 | 🇬🇧 | Irina Rish |
| [IFT6758A](https://admission.umontreal.ca/cours-et-horaires/cours/ift-6758/) | Data Science | 4 | 🇬🇧 | Gauthier Gidel, Glen Berseth |
| [IFT6760](https://admission.umontreal.ca/rechercher/?q=ift+6760&target=admission&cx=011926736769028447783%3Aqlpu3so2kqq&ie=UTF-8) | Seminars in deep learning | ? | ? |

### Mcgill

| Code | Title / Notes | Lang. | Prof. |
| ------------------------------------------------------------------ | ------------------------------------ | ------- | ------------ |
| [BMDE 520](https://www.mcgill.ca/study/2021-2022/courses/bmde-520) | Machine Learning for Biomedical Data [outline](http://bzdok.lab.mcgill.ca/media/M4BD_course_outline_fall_2021.pdf)<p><em>(Assignment heavy, no CV application Who took: Rohan Banerjee)</em></p> | English | Danilo Bzdok |
| [COMP 551](https://www.mcgill.ca/study/2022-2023/courses/comp-551) | Applied Machine Learning [outline](http://www.reirab.com/Teaching/AML23/index.html)<p><em>(great overview of classical ML but not much DL. No CV. Who took it: Nadia Blostein )</em></p> | English | Yue Li (Fall), Reihaneh Rabbany (Winter)|
| Code | Title / Notes | Credits | Lang. | Prof. |
| ------------------------------------------------------------------ | ------------------------------------- | ------- | ------- | ------------ |
| [BMDE520A](https://www.mcgill.ca/study/2023-2024/courses/bmde-520) | Machine Learning for Biomedical Data <br> _Assignment heavy, no CV application (Rohan)_ | 3 | 🇬🇧 | Danilo Bzdok |
| [COMP551AH](https://www.mcgill.ca/study/2023-2024/courses/comp-551) | Applied Machine Learning [outline](http://www.reirab.com/Teaching/AML23/index.html) _Great overview of classical ML but not much DL. No CV. (Nadia)_ |4 | 🇬🇧 | Yue Li (Fall), Reihaneh Rabbany (Winter)|

## **Computer Vision**

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