Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
Bayesian Statistics Made Simple
Search
Allen Downey
October 29, 2020
Programming
1
160
Bayesian Statistics Made Simple
An introduction to Bayesian statistics, presented at ODSC West 2020.
Allen Downey
October 29, 2020
Tweet
Share
More Decks by Allen Downey
See All by Allen Downey
Area under the receiver operating curve
allendowney
0
140
Other Decks in Programming
See All in Programming
CSC307 Lecture 06
javiergs
PRO
0
670
Unicodeどうしてる? PHPから見たUnicode対応と他言語での対応についてのお伺い
youkidearitai
PRO
1
1k
Denoのセキュリティに関する仕組みの紹介 (toranoana.deno #23)
uki00a
0
270
副作用をどこに置くか問題:オブジェクト指向で整理する設計判断ツリー
koxya
1
560
[AI Engineering Summit Tokyo 2025] LLMは計画業務のゲームチェンジャーか? 最適化業務における活⽤の可能性と限界
terryu16
2
600
責任感のあるCloudWatchアラームを設計しよう
akihisaikeda
3
130
GISエンジニアから見たLINKSデータ
nokonoko1203
0
200
組織で育むオブザーバビリティ
ryota_hnk
0
160
LLM Observabilityによる 対話型音声AIアプリケーションの安定運用
gekko0114
2
410
Package Management Learnings from Homebrew
mikemcquaid
0
120
CSC307 Lecture 03
javiergs
PRO
1
480
SourceGeneratorのススメ
htkym
0
170
Featured
See All Featured
Raft: Consensus for Rubyists
vanstee
141
7.3k
Imperfection Machines: The Place of Print at Facebook
scottboms
269
14k
Visualizing Your Data: Incorporating Mongo into Loggly Infrastructure
mongodb
49
9.8k
JavaScript: Past, Present, and Future - NDC Porto 2020
reverentgeek
52
5.8k
Evolving SEO for Evolving Search Engines
ryanjones
0
110
Documentation Writing (for coders)
carmenintech
77
5.2k
The Curse of the Amulet
leimatthew05
1
7.9k
jQuery: Nuts, Bolts and Bling
dougneiner
65
8.4k
Fireside Chat
paigeccino
41
3.8k
Between Models and Reality
mayunak
1
180
Embracing the Ebb and Flow
colly
88
5k
[SF Ruby Conf 2025] Rails X
palkan
0
730
Transcript
None
None
None
None
https://commons.wikimedia.org/wiki/File:Bayes%27_Theorem_MMB_01.jpg
None
None
• •
None
None
None
None
None
None
01_cookie.ipynb
None
Hypotheses Probabilities Bowl 1 0.6 Bowl 2 0.4
unnorm = prior * likelihood prob_data = unnorm.sum() posterior =
unnorm / prob_data
None
01_cookie.ipynb
None
None
None
None
None
None
02_euro.ipynb
None
None
None
None
None
None
None
None
02_euro.ipynb
None
None
None
None
• • •
02_euro.ipynb
None
None
None
None
None
None
None
None
CC BY-SA 3.0, https://en.wikipedia.org/w/index.php?curid=5709790
None
None
None
03_bandit.ipynb
03_bandit.ipynb
None
None
None
None
None
None
03_bandit.ipynb
None
None
None
thinkbayes.com
None
thinkstats2.com
None
[email protected]
/blog github website twitter email blog
None
None
None
None