Commit 9f518d22 by PLN (Algolia)

Slides: bases

parent fe6a0103
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---
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# <!-- fit --> Hello World
ROBOTS ARE UPRISING. WHAT SIDE ARE YOU ON?
---
### On va parler de
# <!-- fit --> Machine Learning
---
## Mais pas comme ça
<br />
$$ I_{xx}=\int\int_Ry^2f(x,y)\cdot{}dydx $$
<br />
#### (Le moins possible)
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## Ni comme ça
![bg right](https://uproxx.com/wp-content/uploads/2015/05/angry-bender.jpg?w=650)
###### - [the Fallacy of generalization from Fictional evidence](https://www.lesswrong.com/posts/rHBdcHGLJ7KvLJQPk/the-logical-fallacy-of-generalization-from-fictional)
---
## Encore que...
![bg right grayscale](https://uproxx.com/wp-content/uploads/2015/05/angry-bender.jpg?w=650)
###### - [AGI Ruin: A List of Lethalities](https://www.lesswrong.com/posts/uMQ3cqWDPHhjtiesc/agi-ruin-a-list-of-lethalities)
---
## On va parler des derniers succès
#### - [Meta AI Research: CICERO](https://ai.facebook.com/blog/cicero-ai-negotiates-persuades-and-cooperates-with-people/)
![bg left](./img/01-cicero.png)
---
## Et d'échecs intéressants
##### - [MIT Tech review: 100s of AI tools built for covid... None helped.](https://www.technologyreview.com/2021/07/30/1030329/machine-learning-ai-failed-covid-hospital-diagnosis-pandemic/)
![bg left 100%](./img/01-covid-failed.png)
----
## Mais aussi de révolutions en cours
##### - [Midjourney](fixme)
![bg left](./img/01-midjourney.png)
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### Comment le ML peut raconter des histoires
##### - [fixme ai dungeon](https://openai.com/blog/jukebox/)
![bg left 100%](./img/01-jukebox.png)
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### Comment elles nous comprennent
##### - [OpenAI Jukebox: a neural net that generates music, including rudimentary singing](https://openai.com/blog/jukebox/)
![bg left 100%](./img/01-jukebox.png)
----
## Comment vous pourriez les comprendre
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## Et comment leur faire faire ce que vous voulez
---
<!--
_backgroundColor: white
_color: black
-->
<br />
## Qui suis-je?
<!-- Vous pouvez me contacter -->
### Paul-Louis Nech
- ###### ✉ formation@nech.pl
- ###### 🔗 LinkedIn.com/in/PLNech
- ###### 💡 GitHub.com/PLNech
![bg right grayscale](./img/01-me.jpg)
---
<!--
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<br />
## Parcours
- #### EPITA 2016 | MTI
- #### Software Engineer @Algolia
- #### ML Engineer @Algolia
![bg right](./img/01-me2.jpg)
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## C'est quoi ce cours ?
<!-- Plan du cours / TDs / eval -->
<!-- Format / interactions welcome -->
---
# Les bases
## C'est quoi apprendre ?
Le par-coeur, un problème ?
Guessing the teachers password
Learning to forget
Comment je sais ce que je sais pas ?
## Failures of ML
MIT COVID FAILS
Gaming the game: IAs flemmardes
Short-term goals vs long-term goals
Dangerous goals : Paperclip maximizer?
## C'est quoi du ML ?
Un thermostat ?
Sacs de ifs
Amazon mechanical turk
Elisa? Turing test ?
Akinator ?
Quelles limites aux possibilités du ML ?
Andrew ng's quote on limits
## Formalisme: features
## métriques
Supervisé ou non
## Pionniers & Penseurs
### Turing
### Dartmouth
### Summer
### Yann LeCun
### Andrew Ng
### Yudkowsky
###
## Adversarial perturbations
## Méthodes
### Train/test/val split
## Outils
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