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
Safe Dining
Search
Sponsored
·
Ship Features Fearlessly
Turn features on and off without deploys. Used by thousands of Ruby developers.
→
ahmad0510
February 16, 2016
Technology
0
44
Safe Dining
Recommender for safe eating places in your neighborhood
ahmad0510
February 16, 2016
Tweet
Share
More Decks by ahmad0510
See All by ahmad0510
Safe Dining Talk
ahmad0510
0
49
Safe Dining Talk
ahmad0510
0
34
Safe Dining
ahmad0510
1
33
Safe Dining
ahmad0510
0
40
Safe Dining
ahmad0510
0
44
Safe Dining
ahmad0510
1
40
SafeDining
ahmad0510
0
48
SafeDining2
ahmad0510
0
33
Safedining3
ahmad0510
0
41
Other Decks in Technology
See All in Technology
Sansan Engineering Unit 紹介資料
sansan33
PRO
1
3.8k
Frontier Agents (Kiro autonomous agent / AWS Security Agent / AWS DevOps Agent) の紹介
msysh
3
170
顧客との商談議事録をみんなで読んで顧客解像度を上げよう
shibayu36
0
230
~Everything as Codeを諦めない~ 後からCDK
mu7889yoon
3
340
モダンUIでフルサーバーレスなAIエージェントをAmplifyとCDKでサクッとデプロイしよう
minorun365
4
200
会社紹介資料 / Sansan Company Profile
sansan33
PRO
15
400k
M&A 後の統合をどう進めるか ─ ナレッジワーク × Poetics が実践した組織とシステムの融合
kworkdev
PRO
1
440
Bill One急成長の舞台裏 開発組織が直面した失敗と教訓
sansantech
PRO
2
370
データの整合性を保ちたいだけなんだ
shoheimitani
8
3.1k
StrandsとNeptuneを使ってナレッジグラフを構築する
yakumo
1
120
ClickHouseはどのように大規模データを活用したAIエージェントを全社展開しているのか
mikimatsumoto
0
230
[CV勉強会@関東 World Model 読み会] Orbis: Overcoming Challenges of Long-Horizon Prediction in Driving World Models (Mousakhan+, NeurIPS 2025)
abemii
0
130
Featured
See All Featured
Why Your Marketing Sucks and What You Can Do About It - Sophie Logan
marketingsoph
0
74
Practical Orchestrator
shlominoach
191
11k
How Fast Is Fast Enough? [PerfNow 2025]
tammyeverts
3
450
Organizational Design Perspectives: An Ontology of Organizational Design Elements
kimpetersen
PRO
1
190
The innovator’s Mindset - Leading Through an Era of Exponential Change - McGill University 2025
jdejongh
PRO
1
91
Code Reviewing Like a Champion
maltzj
527
40k
The browser strikes back
jonoalderson
0
370
End of SEO as We Know It (SMX Advanced Version)
ipullrank
3
3.9k
Put a Button on it: Removing Barriers to Going Fast.
kastner
60
4.2k
Build The Right Thing And Hit Your Dates
maggiecrowley
38
3k
Six Lessons from altMBA
skipperchong
29
4.1k
Efficient Content Optimization with Google Search Console & Apps Script
katarinadahlin
PRO
0
320
Transcript
Ahmad Haider Insight Data Science 2016
Personal Story What if I could find which restaurants are
safe and which are not? Mugged @Parking lot ! L Hungry for Pizza! Closest pizza location
Makes Real-Time Recommendations for Safety Ratings Restaurants in a Neighborhood
SafeDining app
I want to eat Pizza at 2+ rated restaurant within
3 miles of my location Under the hood…
I want to eat Pizza at 2+ rated restaurant within
3 miles of my location
I want to eat Pizza at 2+ rated restaurant within
3 miles of my location
I want to eat Pizza at 2+ rated restaurant within
3 miles of my location p1 p2 p3 p4 p5 p1 p2 p3 p4 p1 p2 p1 p2 p3 p4 p5 p6 p7 p8 p1 Crime Location Crime Probability
I want to eat Pizza at 2+ rated restaurant within
3 miles of my location p1 p2 p3 p4 p5 p1 p2 p3 p4 p1 p2 p1 p2 p3 p4 p5 p6 p7 p8 p1 Crime Location Crime Probability 1. pRest 1. pRest 1. pRest 1. pRest pRest Crime Probability at restaurant
I want to eat Pizza at 2+ rated restaurant within
3 miles of my location p1 p2 p3 p4 p5 p1 p2 p3 p4 p1 p2 p1 p2 p3 p4 p5 p6 p7 p8 p1 Crime Location Crime Probability 1. pRest 1. pRest 1. pRest 1. pRest pRest Crime Probability at restaurant pRest pRest pRest pRest pRest pRest pRest
I want to eat Pizza at 2+ rated restaurant within
3 miles of my location p1 p2 p3 p4 p5 p1 p2 p3 p4 p1 p2 p1 p2 p3 p4 p5 p6 p7 p8 p1 Crime Location Crime Probability 1. pRest 1. pRest 1. pRest 1. pRest pRest Crime Probability at restaurant pRest pRest pRest pRest pRest pRest pRest 2. Relative Safety Index 2. Relative Safety Index 2. Relative Safety Index 2. Relative Safety Index
Workflow Crime dataset Yelp API Preprocessing Defining classification problem Feature
Engineering Choosing a model Validation 10-fold cross validation Cross entropy loss measure
Multiclass Classification Predict the probability of crime at any
hour at any given location Features: 35 -- Location (Lat., Long. etc.) , Time (dd, wk, mm, yyyy) Labels: 24 classes (hour of day) Logistic Regression Cross entropy loss measure = 2.95 Algorithm
Theft Residential Burglary Robbery Assault Source: mylocalcrime.com Validation My analysis
mylocalcrime.com
• Ahmad Haider • PhD thesis: “Measurement of energy landscapes
of biological interactions using Boltzmann sampling” • Georgia Tech • Love hiking About Me
None