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
150
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
Web Components で実現する Hotwire とフロントエンドフレームワークの橋渡し / Bridging with Web Components
da1chi
3
2k
dynamic!
moro
10
7.2k
iOSエンジニア向けの英語学習アプリを作る!
yukawashouhei
0
190
SpecKitでどこまでできる? コストはどれくらい?
leveragestech
0
670
CSC305 Lecture 06
javiergs
PRO
0
210
その面倒な作業、「Dart」にやらせませんか? Flutter開発者のための業務効率化
yordgenome03
0
110
iOSエンジニア向けの英語学習アプリを作る!
yukawashouhei
0
190
タスクの特性や不確実性に応じた最適な作業スタイルの選択(ペアプロ・モブプロ・ソロプロ)と実践 / Optimal Work Style Selection: Pair, Mob, or Solo Programming.
honyanya
3
160
Go言語の特性を活かした公式MCP SDKの設計
hond0413
1
210
Django Ninja による API 開発効率化とリプレースの実践
kashewnuts
0
1.2k
Pythonスレッドとは結局何なのか? CPython実装から見るNoGIL時代の変化
curekoshimizu
5
1.7k
iOSアプリの信頼性を向上させる取り組み/ios-app-improve-reliability
shino8rayu9
0
170
Featured
See All Featured
Fantastic passwords and where to find them - at NoRuKo
philnash
52
3.4k
Improving Core Web Vitals using Speculation Rules API
sergeychernyshev
19
1.2k
Navigating Team Friction
lara
189
15k
Optimising Largest Contentful Paint
csswizardry
37
3.4k
[Rails World 2023 - Day 1 Closing Keynote] - The Magic of Rails
eileencodes
37
2.6k
A designer walks into a library…
pauljervisheath
209
24k
BBQ
matthewcrist
89
9.8k
How GitHub (no longer) Works
holman
315
140k
jQuery: Nuts, Bolts and Bling
dougneiner
64
7.9k
Side Projects
sachag
455
43k
Site-Speed That Sticks
csswizardry
11
890
JavaScript: Past, Present, and Future - NDC Porto 2020
reverentgeek
52
5.6k
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