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
AJT_Insight_Demo.pdf
Search
ameliajtaylor
June 28, 2016
Technology
0
3.9k
AJT_Insight_Demo.pdf
Demo completed as an Insight Data Science Fellow.
ameliajtaylor
June 28, 2016
Tweet
Share
Other Decks in Technology
See All in Technology
自治体職員がガバクラの AWS 閉域ネットワークを理解するのにやって良かった個人検証環境
takeda_h
0
270
生成AIによるデータサイエンスの変革
taka_aki
0
3k
Kiro と Q Dev で 同じゲームを作らせてみた
r3_yamauchi
PRO
1
120
Cloud WANの基礎から応用~少しだけDeep Dive~
masakiokuda
3
120
意志の力が9割。アニメから学ぶAI時代のこれから。
endohizumi
1
100
オブザーバビリティ文化を組織に浸透させるには / install observability culture
mackerelio
0
160
React Server ComponentsでAPI不要の開発体験
polidog
PRO
0
340
AIが住民向けコンシェルジュに?Amazon Connectと生成AIで実現する自治体AIエージェント!
yuyeah
0
180
JAWS AI/ML #30 AI コーディング IDE "Kiro" を触ってみよう
inariku
3
400
生成AIによるソフトウェア開発の収束地点 - Hack Fes 2025
vaaaaanquish
34
16k
モノレポにおけるエラー管理 ~Runbook自動生成とチームメンションの最適化
biwashi
0
340
Amazon S3 Vectorsは大規模ベクトル検索を低コスト化するサーバーレスなベクトルデータベースだ #jawsugsaga / S3 Vectors As A Serverless Vector Database
quiver
2
960
Featured
See All Featured
Six Lessons from altMBA
skipperchong
28
4k
Templates, Plugins, & Blocks: Oh My! Creating the theme that thinks of everything
marktimemedia
31
2.5k
Visualizing Your Data: Incorporating Mongo into Loggly Infrastructure
mongodb
48
9.6k
The Art of Programming - Codeland 2020
erikaheidi
54
13k
Music & Morning Musume
bryan
46
6.7k
How To Stay Up To Date on Web Technology
chriscoyier
790
250k
XXLCSS - How to scale CSS and keep your sanity
sugarenia
248
1.3M
Optimizing for Happiness
mojombo
379
70k
Keith and Marios Guide to Fast Websites
keithpitt
411
22k
The Success of Rails: Ensuring Growth for the Next 100 Years
eileencodes
46
7.6k
Code Reviewing Like a Champion
maltzj
525
40k
How to train your dragon (web standard)
notwaldorf
96
6.2k
Transcript
Water they doing with those meters? Amelia Taylor A consulting
project for Valor Water Analytics: Insight Fellow
Utility companies have leaks.
Analytics Companies Have a Problem
Analytics Companies Have a Problem Prototype Model
Analytics Companies Have a Problem Prototype Model Meter Tampering
Scores
Analytics Companies Have a Problem Prototype Model Meter Tampering
Scores New Scores Using new supervised data
Data Existing Model Scores & Labels Algorithms
Data Existing Model Scores & Labels SMOTE Resample
Algorithms
Data Existing Model Scores & Labels SMOTE Resample
Random Forest Classification New Scores Algorithms
Data Existing Model Scores & Labels SMOTE Resample
Random Forest Classification Gradient Descent New Scores Algorithms
Metrics My algorithm: Random Forest with SMOTE
Company Prototype Model ROC Curves Increased AUC by 70%
Metrics My algorithm: Random Forest with SMOTE
Company Prototype Model ROC Curves Increased AUC by 70%
Metrics My algorithm: Random Forest with SMOTE
Company Prototype Model ROC Curves Increased AUC by 70%
Actionable Insights Quickly identified features not performing as expected.
Tampered Untampered
Actionable Insights Quickly identified features not performing as expected.
Tampered Untampered
Actionable Insights Untampered Tampered 99.924% 0.076% Untampered Tampered 50% 50%
Quickly identified features not performing as expected. Before SMOTE After SMOTE Tampered Untampered
Deliverables 1. Python Modules & API
Deliverables 1. Python Modules & API 2. Scalable platform for
improving scores from multiple prototype models.
Deliverables 1. Python Modules & API 2. Scalable platform for
improving scores from multiple prototype models. 3. Improved the true positive rate (recall) balancing that with the false positive rate. AUC Increased 70%
About Me Amelia Taylor Green: Unbiased Squangle PhD Mathematics
University of Kansas