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
SafeDining
Search
ahmad0510
February 11, 2016
Technology
0
24
SafeDining
Finds safe (crime free) places to eat near you
ahmad0510
February 11, 2016
Tweet
Share
More Decks by ahmad0510
See All by ahmad0510
Safe Dining Talk
ahmad0510
0
41
Safe Dining Talk
ahmad0510
0
27
Safe Dining
ahmad0510
1
26
Safe Dining
ahmad0510
0
32
Safe Dining
ahmad0510
0
30
Safe Dining
ahmad0510
0
40
Safe Dining
ahmad0510
1
30
SafeDining
ahmad0510
0
39
SafeDining2
ahmad0510
0
24
Other Decks in Technology
See All in Technology
2024春 注目のWeb系 OSS & SaaS 3選
makies
0
170
Rustで「プリズモイダル法」を利用して「土量計算」をガチでやる
nokonoko1203
1
280
Cloud Service Mesh に触れ合う
phaya72
1
170
Babylon.js JAPAN活動紹介 (2024/4)
limes2018
1
110
LayerXにおけるLLMプロダクト開発の今までとこれから
layerx
PRO
3
600
LangSmith入門―トレース/評価/プロンプト管理などを担うLLMアプリ開発プラットフォーム
os1ma
5
700
Cypress or Playwright?
rainerhahnekamp
0
170
実例で紹介するRAG導入時の知見と精度向上の勘所
yamahiro
5
1.6k
【NW X Security JAWS#3】L3-4:AWS環境のIPv6移行に向けて知っておきたいこと
shotashiratori
1
620
DMM.com アルファ室採用案内資料
hsugita
1
220
家族アルバム みてねにおけるGrafana活用術 / Grafana Meetup Japan Vol.1 LT
isaoshimizu
1
910
コードや知識を組み込む / Incorporate Code and knowledge
ks91
PRO
0
140
Featured
See All Featured
I Don’t Have Time: Getting Over the Fear to Launch Your Podcast
jcasabona
22
1.6k
ピンチをチャンスに:未来をつくるプロダクトロードマップ #pmconf2020
aki_iinuma
79
43k
Creating an realtime collaboration tool: Agile Flush - .NET Oxford
marcduiker
14
1.5k
Happy Clients
brianwarren
92
6.4k
Facilitating Awesome Meetings
lara
43
5.6k
Six Lessons from altMBA
skipperchong
22
3k
Visualization
eitanlees
137
14k
Atom: Resistance is Futile
akmur
260
25k
Bash Introduction
62gerente
605
210k
Cheating the UX When There Is Nothing More to Optimize - PixelPioneers
stephaniewalter
275
13k
The Invisible Customer
myddelton
114
12k
Refactoring Trust on Your Teams (GOTO; Chicago 2020)
rmw
26
2.3k
Transcript
Ahmad Haider Insight Data Science 2016
Personal Story 11 pm@ Nov 2013: Preparing for final
exams Hungry. Pizza cravings! Drive with friends to the nearest Papa Johns Mugged at Papa Johns parking lot. Car stolen L Insight project: Can I predict the safety rating of restaurants?
Provide real time location safety ratings of restaurants SafeDining
I want to eat Pizza at 2+ rated restaurant within
2 miles of my location pRest pRest pRest pRest pRest pRest pRest 2. Relative Safety Index 2. Relative Safety Index 2. Relative Safety Index 2. Relative Safety Index 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
Workflow Crime dataset Yelp dataset Preprocessing Defining classification problem Feature
Engineering Choosing a model Validation Python Pandas Regular expr. Multiclass 24 classes (hour of day) Standardization PCA Logistic Regression scikit-learn 10-fold cross validation Log loss score 2009-2015 Yelp search API
Multiclass Classification Predict the hour at which crime
happens at given location Features: Location (lat., long.), Address, Day, Week, Month, Year Labels: 24 classes (hour of day) Logistic Regression Cross entropy loss measure = 2.95 Algorithm
Theft Residential Burglary Robbery Assault Source: mylocalcrime.com Validation
• Ahmad Haider • PhD in “Measurement of energy landscapes
of biological interactions using boltzmann sampling” • Georgia Tech • Love hiking and reading fiction/non-fiction About Me
None