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
140
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
130
Other Decks in Programming
See All in Programming
Domain-Driven Transformation
hschwentner
2
1.9k
もう僕は OpenAPI を書きたくない
sgash708
5
1.8k
2,500万ユーザーを支えるSREチームの6年間のスクラムのカイゼン
honmarkhunt
6
5.3k
color-scheme: light dark; を完全に理解する
uhyo
5
390
Djangoアプリケーション 運用のリアル 〜問題発生から可視化、最適化への道〜 #pyconshizu
kashewnuts
1
250
バックエンドのためのアプリ内課金入門 (サブスク編)
qnighy
8
1.8k
お前もAI鬼にならないか?👹Bolt & Cursor & Supabase & Vercelで人間をやめるぞ、ジョジョー!👺
taishiyade
6
4k
『テスト書いた方が開発が早いじゃん』を解き明かす #phpcon_nagoya
o0h
PRO
2
280
SwiftUIで単方向アーキテクチャを導入して得られた成果
takuyaosawa
0
270
データの整合性を保つ非同期処理アーキテクチャパターン / Async Architecture Patterns
mokuo
47
17k
定理証明プラットフォーム lapisla.net
abap34
1
1.8k
DROBEの生成AI活用事例 with AWS
ippey
0
130
Featured
See All Featured
Evolution of real-time – Irina Nazarova, EuRuKo, 2024
irinanazarova
6
550
Fontdeck: Realign not Redesign
paulrobertlloyd
83
5.4k
The World Runs on Bad Software
bkeepers
PRO
67
11k
Principles of Awesome APIs and How to Build Them.
keavy
126
17k
Easily Structure & Communicate Ideas using Wireframe
afnizarnur
193
16k
Done Done
chrislema
182
16k
Typedesign – Prime Four
hannesfritz
40
2.5k
Fireside Chat
paigeccino
34
3.2k
Performance Is Good for Brains [We Love Speed 2024]
tammyeverts
7
630
Java REST API Framework Comparison - PWX 2021
mraible
28
8.4k
Designing for Performance
lara
604
68k
VelocityConf: Rendering Performance Case Studies
addyosmani
328
24k
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