==⚠ Switch to EXCALIDRAW VIEW in the MORE OPTIONS menu of this document. ⚠== You can decompress Drawing data with the command palette: 'Decompress current Excalidraw file'. For more info check in plugin settings under 'Saving'
# Excalidraw Data
## Text Elements
Raisonnement du data scientist ^KYEnfYWy
Notre univers est rempli de phénomènes aléatoires ^bdPto1GB
Dont les issues ne peuvent êtres prédites
avec une parfaite certitude ^xdiuX0E9
Lancé de dé ^f4rWk5CI
Duréé de vie d'une étoile ^6GoxGyCR
Le nombre de voiture qui circulent
chaque jour dans sa rue ^pe22Z01q
La température de notre café ^aMG7f0fK
L'heure à laquelle on va se réveiller demain ^I69n8jp8
Dans la pratique, on ne connait que très rarement le véritable domaine
et la Loi de Probabilité qui caractérisent les phénomènes aléatoires qui nous entourent ^nmF4xk0n
Quelle est la Variable Aléatoire qui décrit
le nombre de voitures qui circulent chaque heure dans notre rue ? ^xJqJr8yf
Fréquences ^FK9dmHi0
Issues ^kWpwVkBn
1 ^OL3u4YET
2 ^19VmBpjL
3 ^v4HQ00fh
... ^7ztnzHtJ
En mathématique, on modélise ces phénomènes aléatoires avec des Variables Aléatoires (V.A.)
Une V.A. est une application qui se caractérise par :
- un domaine = l'ensemble des résultats possibles qui peuvent émerger des phénomènes
- une loi de probabilité = la fréquence d'apparition de chacun de ces résultats ^9RR4kLPA
Fréquences ^BDjzFm7r
Issues ^Y5sX4tGz
1/6 ^HtmZpHUt
1/6 ^mhyeLSTJ
1/6 ^bQN0SAhI
1/6 ^OlmKyymq
1/6 ^V02o1zeF
1/6 ^DMQW2iFc
1 ^S7pOiI3o
2 ^I4Ylw2ZV
3 ^cfMwgXMf
4 ^70H5SJ78
5 ^A7RVRiMc
6 ^E3l2f2Q5
Les phénomènes aléatoires qui nous entourent sont
semblables à des boîtes noires, dont on ignore
le fonctionnement réel
Tout ce qu'on peur faire, c'est observer un
échantillon de ce que ces boîtes noires
peuvent produire...
... et tenter d'en tirer des conclusions. ^jKgjUMWk
Example : une boîte magique produit un nombre chaque seconde ^ERBkeRjy
3, 0, 0, 3, 0, 3, 2, 3, 3, 1, 0, 2, 0, 3, 3, 3, ... ^1fJSSWx7
--> Domaine : 0, 1, 2, 3 (?? p-e qu'un 4 va sortir, on en sait rien..) ^qiH28cjr
Loi : ^aQGrIJBF
5 ^vwXuOJkl
1 ^MsP7yn5T
2 ^XlBsAnyV
8 ^eNwaK6HM
16 ^pi5tWkxB
16 ^jNCwcsLQ
16 ^t6ez7kXX
16 ^jEb1BCoJ
En tant que Data Scientist,
on doit être capable d'estimer du mieux possible :
- Le domaine d'une V.A.
- Sa Loi de Probabilité
- La confiance que l'on a dans notre estimation !
-> il faut développer notre capacité à :
1. formuler des hypothèses
2. les tester rigoureusement
3. conclure avec confiance pour apporter de la valeur
et continuer d'avancer ^T9Kfnztg
C'est en fait le but même des statistiques que de chercher
à approximer ce que peuvent être ces VA. ^yUAqoBiU
Population ^aLPxkHc3
Échantillon ^7VScvZuf
## Embedded Files
0c54b216ba9572048cbb50807e88ab041d49c4cf8ce9fb81bd4dab0e51ec861c5df5a3bd927ed409c30ab43e7732c2c5: [[dé.svg]]
601ddc3b9b0b497ae816b666b65659dbfd45c3f3: [[univers.svg]]
b8e966d15f3050e0522dcd8283798668678f9cff: [[voiture.svg]]
%%
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```
%%