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add pdf courses days 3-5
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chapters/day1_courses_pdf.qmd

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{{< fa user >}} &nbsp;**Author:** [Léo Blondel](https://www.alien.club/)<br/>
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{{< fa globe >}} &nbsp;**Slides:** <https://github.com/AI-ecol/AI-ecol.github.io/chapters/day1_1_intro_AI_SF_Ethics.pdf>
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{{< fa globe >}} &nbsp;**Slides:** <https://ai-ecol.github.io/chapters/day1_1_intro_AI_SF_Ethics.pdf>
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{{< fa user >}} &nbsp;**Author:** [Dimitri Justeau-Allaire](https://dimitri-justeau.github.io/)<br/>
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{{< fa globe >}} &nbsp;**Slides:** <https://github.com/AI-ecol/AI-ecol.github.io/chapters/day1_2_historical_background.pdf>
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{{< fa globe >}} &nbsp;**Slides:** <https://ai-ecol.github.io/chapters/day1_2_historical_background.pdf>
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chapters/day2_courses_pdf.qmd

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{{< fa user >}} &nbsp;**Author:** [Léo Blondel](https://www.alien.club/)<br/>
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{{< fa globe >}} &nbsp;**Slides:** <https://github.com/AI-ecol/AI-ecol.github.io/chapters/day2_1_intro_machine_learning.pdf>
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{{< fa globe >}} &nbsp;**Slides:** <https://ai-ecol.github.io/chapters/day2_1_intro_machine_learning.pdf>
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{{< fa user >}} &nbsp;**Author:** [Paul Tresson](http://paul.tresson.eu/)<br/>
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{{< fa globe >}} &nbsp;**Slides:** <https://github.com/AI-ecol/AI-ecol.github.io/chapters/day2_2_overfitting.pdf>
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{{< fa globe >}} &nbsp;**Slides:** <https://ai-ecol.github.io/chapters/day2_2_overfitting.pdf>
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<iframe class="responsive-iframe" src="day2_2_overfitting.pdf"></iframe>
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</div>
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### Decision trees and random forest
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{{< fa user >}} &nbsp;**Author:** [Paul Tresson](http://paul.tresson.eu/)<br/>
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{{< fa globe >}} &nbsp;**Slides:** <https://github.com/AI-ecol/AI-ecol.github.io/chapters/day2_3_random_forest.pdf>
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{{< fa globe >}} &nbsp;**Slides:** <ai-ecol.github.io/chapters/day2_3_random_forest.pdf>
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chapters/day3_2_GMM.pdf

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chapters/day3_courses_pdf.qmd

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## Day 3 {.unnumbered}
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### Projections and clustering
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<br />
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{{< fa user >}} &nbsp;**Author:** [Paul Tresson](http://paul.tresson.eu/)<br/>
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{{< fa globe >}} &nbsp;**Slides:** <https://ai-ecol.github.io/chapters/day3_1_projections_and_clustering.pdf>
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<br />
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<div class="container">
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<iframe class="responsive-iframe" src="day3_1_projections_and_clustering.pdf"></iframe>
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</div>
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<br /><br /><br />
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### Gaussian Mixture Models
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{{< fa user >}} &nbsp;**Author:** [Léo Blondel](https://www.alien.club/)<br/>
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{{< fa globe >}} &nbsp;**Slides:** <https://ai-ecol.github.io/chapters/day3_2_GMM.pdf>
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<br />
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<div class="container">
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<iframe class="responsive-iframe" src="day3_2_GMM.pdf"></iframe>
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</div>
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chapters/day4_courses_pdf.qmd

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## Day 4 {.unnumbered}
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### A brief history of deep learning
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<br />
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{{< fa user >}} &nbsp;**Author:** [Paul Tresson](http://paul.tresson.eu/)<br/>
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{{< fa globe >}} &nbsp;**Slides:** <https://ai-ecol.github.io/chapters/day4_history_DL.pdf>
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<br />
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<div class="container">
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<iframe class="responsive-iframe" src="day4_history_DL.pdf"></iframe>
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</div>
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chapters/day4_history_DL.pdf

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chapters/day5_courses_pdf.qmd

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## Day 5 {.unnumbered}
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### Introduction to automated reasoning and constraint programming
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{{< fa user >}} &nbsp;**Author:** [Dimitri Justeau-Allaire](https://dimitri-justeau.github.io/)<br/>
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{{< fa globe >}} &nbsp;**Slides:** <https://ai-ecol.github.io/chapters/day5_1_intro_to_automated_reasonning_CP.pdf>
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<br />
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<div class="container">
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<iframe class="responsive-iframe" src="day5_1_intro_to_automated_reasonning_CP.pdf"></iframe>
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</div>
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<br /><br /><br />
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### Agronomic use case of constraint programming
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{{< fa user >}} &nbsp;**Author:** [Margot Challand](https://www.researchgate.net/profile/Margot-Challand-2)<br/>
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{{< fa globe >}} &nbsp;**Slides:** <https://ai-ecol.github.io/chapters/day5_2_agronomic_use_case_of_CP.pdf>
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<br />
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<div class="container">
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<iframe class="responsive-iframe" src="day5_2_agronomic_use_case_of_CP.pdf"></iframe>
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</div>

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