sfbayacm acm data science camp 2015 10 24
TRANSCRIPT
![Page 1: SFbayACM ACM Data Science Camp 2015 10 24](https://reader031.vdocuments.net/reader031/viewer/2022030310/58f9a9681a28ab11398b4567/html5/thumbnails/1.jpg)
} 8:15 arrive, network, register for tutorial and camp } 8:50-10:50 Tutorial: Introduction to R for Machine
Learning
} 11:00 Camp Kickoff } Sponsors: ACM SIGKDD, PayPal, UCSC } 11:25 Keynote: Spark for Data Science, Big & Small } 12:25 Propose Sessions Ask for a “show of hands for interest” à Room Size } 1:15 Lunch, post Session Matrix } 2:00 Session 1 : (50 min for session, 10 min break) } 5:00 Session 4 } 6:00 Session Summary
![Page 2: SFbayACM ACM Data Science Camp 2015 10 24](https://reader031.vdocuments.net/reader031/viewer/2022030310/58f9a9681a28ab11398b4567/html5/thumbnails/2.jpg)
◦ 8:50 – 10:50am by � Joseph Rickert (Program Manager, Microsoft) � Robert Horton (Data Scientist, Microsoft)
◦ Rapid introduction to the R language – in
depth enough to build machine learning models � RandomForest, kernlab, caret ◦ Exploratory analysis, visualize, clustering,
classification ◦ How to find R help and additional resources ◦ Big data capabilities of Microsoft’s RRE
distribution of R
![Page 3: SFbayACM ACM Data Science Camp 2015 10 24](https://reader031.vdocuments.net/reader031/viewer/2022030310/58f9a9681a28ab11398b4567/html5/thumbnails/3.jpg)
![Page 4: SFbayACM ACM Data Science Camp 2015 10 24](https://reader031.vdocuments.net/reader031/viewer/2022030310/58f9a9681a28ab11398b4567/html5/thumbnails/4.jpg)
Morning Tutorial Starts Now
![Page 5: SFbayACM ACM Data Science Camp 2015 10 24](https://reader031.vdocuments.net/reader031/viewer/2022030310/58f9a9681a28ab11398b4567/html5/thumbnails/5.jpg)
An ACM SF Bay Area Professional Chapter Event Saturday, October 24, 2015
SFbayACM.org/event/silicon-valley-data-science-camp-2015
WiFi: conference Password: (none)
Twitter Tag #DSCAMP
![Page 6: SFbayACM ACM Data Science Camp 2015 10 24](https://reader031.vdocuments.net/reader031/viewer/2022030310/58f9a9681a28ab11398b4567/html5/thumbnails/6.jpg)
Association of Computing Machinery (ACM)
◦ Principal technical, educational, scientific society for computing professionals world-wide
� Chapter representing SF Bay Area since 1957
◦ Membership/volunteer led, local dues only $20/yr ◦ Members get discounts with publishers, conferences
◦ Produces monthly free meetings � 3rd Wed on General Computing topics � 4th Mon on Data Science
◦ Details at www.SFbayACM.org � Suggest, Volunteer, Donate: [email protected]
![Page 7: SFbayACM ACM Data Science Camp 2015 10 24](https://reader031.vdocuments.net/reader031/viewer/2022030310/58f9a9681a28ab11398b4567/html5/thumbnails/7.jpg)
} 10 Year Anniversary of Data Science SIG } Monday night, November 30 at ebay, San Jose ◦ Online Controlled Experiments: Lessons from Running
A/B/n Tests for 12 Years ◦ Ronny Kohavi, Distinguished Engineer & General
Manager, Analysis & Experimentation, Microsoft
![Page 8: SFbayACM ACM Data Science Camp 2015 10 24](https://reader031.vdocuments.net/reader031/viewer/2022030310/58f9a9681a28ab11398b4567/html5/thumbnails/8.jpg)
} Scala Professional Development Seminar ◦ Date: Sat, Nov 7, 8am-5pm ◦ Location: PayPal Town Hall (here) ◦ Speaker: Cay Horstmann, Computer Science,
San Jose State University ◦ Author of “Scala for the Impatient”
◦ Interactive crash course into this language ◦ Bring your laptop (w/ Scala pre-loaded) ◦ Presentation / lab format
Q) What is Scala? A) Object Oriented Meets Functional http://www.scala-lang.org/
![Page 9: SFbayACM ACM Data Science Camp 2015 10 24](https://reader031.vdocuments.net/reader031/viewer/2022030310/58f9a9681a28ab11398b4567/html5/thumbnails/9.jpg)
} How many have been to an un-conference? } Goals and context of the un-conference ◦ Informal ◦ Share enthusiasm, curiosity, knowledge, questions ◦ Participate, make it happen! ◦ Share responsibility (i.e. leave session room after 50 min) ◦ Encourage session note takers to blog & share at end ◦ http://www.campsite.org/list/733 ◦ Respect others – questions & brainstorms are “safe” ◦ Have FUN!
Twitter Tag #DSCAMP
![Page 10: SFbayACM ACM Data Science Camp 2015 10 24](https://reader031.vdocuments.net/reader031/viewer/2022030310/58f9a9681a28ab11398b4567/html5/thumbnails/10.jpg)
◦ Greg Makowski – DS SIG & Conference Chair
◦ Bill Bruns – SF bay ACM Chair
◦ Stephen McInerney – DS SIG
◦ Steve Lazarus – web registration ◦ Seeking replacement before retirement
◦ Greg Weinstein - general
◦ Liana Ye – volunteers, food, registration
◦ Liz Fraley – ACM Treasurer
Bill
Liana
Greg W
Liz
Steve
Greg M
Stephen
![Page 11: SFbayACM ACM Data Science Camp 2015 10 24](https://reader031.vdocuments.net/reader031/viewer/2022030310/58f9a9681a28ab11398b4567/html5/thumbnails/11.jpg)
} 8:15 arrive, network, register for tutorial and camp } 8:50-10:50 Tutorial: Introduction to R for Machine
Learning
} 11:00 Camp Kickoff } Sponsors: ACM SIGKDD, PayPal, UCSC } 11:25 Keynote: Spark for Data Science, Big & Small } 12:25 Propose Sessions Ask for a “show of hands for interest” à Room Size } 1:15 Lunch, post Session Matrix } 2:00 Session 1 : (50 min for session, 10 min break) } 5:00 Session 4 } 6:00 Session Summary
![Page 12: SFbayACM ACM Data Science Camp 2015 10 24](https://reader031.vdocuments.net/reader031/viewer/2022030310/58f9a9681a28ab11398b4567/html5/thumbnails/12.jpg)
} SIGKDD: ACM SIG on Knowledge Discovery and Data Mining. ◦ Home of data miners, data scientists, and analytics
professionals
} KDD: the premier conference of the field ◦ Research Track, Industry/Government Track, Industry
Practice Expo, Tutorials, Workshops, Invited Talks, Panels, KDD Cups
![Page 13: SFbayACM ACM Data Science Camp 2015 10 24](https://reader031.vdocuments.net/reader031/viewer/2022030310/58f9a9681a28ab11398b4567/html5/thumbnails/13.jpg)
Expect 2,000 – 2,500 attendees KDD Cup competition has been going since 2009
![Page 14: SFbayACM ACM Data Science Camp 2015 10 24](https://reader031.vdocuments.net/reader031/viewer/2022030310/58f9a9681a28ab11398b4567/html5/thumbnails/14.jpg)
} General Chairs
} Program Committee Chairs
} Industry Chairs
Balaji Krishnapuram (IBM)
Mohak Shah (Bosch, USA)
Alex Smola (CMU)
Charu Aggarwal (IBM)
Rajeev Rastogi (Amazon)
Dou Shen (Baidu)
![Page 15: SFbayACM ACM Data Science Camp 2015 10 24](https://reader031.vdocuments.net/reader031/viewer/2022030310/58f9a9681a28ab11398b4567/html5/thumbnails/15.jpg)
Shipeng Yu Associate GC
David Hazel, Derek Young
Web Chairs
Ron Bekkerman Social Network Chair
Romer Rosales Proceedings Chair
Hanghang Tong, Vishy Vishwanathan Tutorials Chairs
Andrei Broder Panels Chair
Quoc Le, Zhi-Hua Zhou
Workshops Chairs
Shou-De Lin KDD Cup co- chair
Gabor Melli, Ankur Teredesai Media & Publicity Chairs
Ying Li Treasurer
Joaquin Quinonero Candela, Olivier Chapelle Local Arrangements Chairs
Sofus Macskassy Student Travel Awards
Chair
![Page 16: SFbayACM ACM Data Science Camp 2015 10 24](https://reader031.vdocuments.net/reader031/viewer/2022030310/58f9a9681a28ab11398b4567/html5/thumbnails/16.jpg)
2505 Augustine Drive, Santa Clara, CA 95054 (near Freeway 101 off Great American Parkway)
http://www.ucsc-extension.edu/
◦ UCSC Extension offers professional technology courses for software, hardware, IT and Web professionals. Over 100 courses are available for enrollment each quarter.
◦ Has a certificate program on “Database and Data Analytics” is the fastest growing certificate in UCSC Extension. Courses cover big data, data science and database applications.
Annual Sponsor
![Page 17: SFbayACM ACM Data Science Camp 2015 10 24](https://reader031.vdocuments.net/reader031/viewer/2022030310/58f9a9681a28ab11398b4567/html5/thumbnails/17.jpg)
Thank PayPal for use of the location Soren Archibald
www.KDnuggets.com A primary hub for data mining Co-marketing sponsor
Gregory Piatetsky-Shapiro
![Page 18: SFbayACM ACM Data Science Camp 2015 10 24](https://reader031.vdocuments.net/reader031/viewer/2022030310/58f9a9681a28ab11398b4567/html5/thumbnails/18.jpg)
STRONG FOUNDATION STRONG MOMENTUM
169 Million Active Customer Accounts
$8 Billion Revenue
4 Billion Payment Transactions
+19 Million Active Customer Accounts Gained in 2014
+17% Total Revenue Growth YoY
+24% Payment Transactions Growth YoY
$235 Billion Total Payment Volume
+25% Total Payment Volume Growth YoY
![Page 19: SFbayACM ACM Data Science Camp 2015 10 24](https://reader031.vdocuments.net/reader031/viewer/2022030310/58f9a9681a28ab11398b4567/html5/thumbnails/19.jpg)
© 2014 PayPal Inc. All rights reserved. Confidential and proprietary.
KEY ENABLER
OF OUR BUSINESS
SUPPORTS THE PAYPAL BRAND PROMISE
MAKES PAYPAL
UNIQUE
19
Invest in Growth & Innovation
Improve Experience & Increase Revenue Simultaneously
Lowest Loss Rates
Secure
Customer Champion
Simple
Onboard Underserved Merchants
New Markets, Multiple Funding Types
Enroll Users Easily
Ongoing Innovation
![Page 20: SFbayACM ACM Data Science Camp 2015 10 24](https://reader031.vdocuments.net/reader031/viewer/2022030310/58f9a9681a28ab11398b4567/html5/thumbnails/20.jpg)
© 2014 PayPal Inc. All rights reserved. Confidential and proprietary.
Strong Foundation
Strong Front Door
11.5 MILLION PAYMENTS processed daily by PayPal
Next-level encryption on every PayPal transaction
PayPal never shares financial information with merchants
PayPal always verifies a person’s identity for payments
24/7 data analytics combined with human oversight to accurately and quickly spot suspicious activity
Constant innovation to advance our machine learning/data mining techniques
Seller and buyer protection offered for eligible transactions
Security & Fraud Services
Consistently ranked among the top in consumer trust & security
20
Financial Information
Consumer Privacy
Consumers Trust PayPal to Help Protect
Their Information
% of consumers who trust these companies to protect their financial data and private
information such as passwords or birthday
Javelin Strategy & Research: Gang of Five: Apple, Google, Amazon, Facebook, and PayPal-eBay:
Threat of the Mobile Wallet Disruptors, 2013. 1% 1%
4% 3%
4% 4%
4% 4%
4% 4%
6% 6%
10% 7%
8% 7%
10% 10%
10% 8%
12% 13%
14% 14%
15% 15%
16% 15%
17%
17% 18%
21%
28% 29%
34% 34% Industry Engagement
Founding member of the FIDO alliance
PayPal chairs the DMARC initiative to reduce phishing attacks against all Internet users
PayPal has been doing tokenization for 15+ years, securely storing customers’ financial information in the cloud.
![Page 21: SFbayACM ACM Data Science Camp 2015 10 24](https://reader031.vdocuments.net/reader031/viewer/2022030310/58f9a9681a28ab11398b4567/html5/thumbnails/21.jpg)
} Joseph Bradley is a Spark Committer working on MLlib at DataBricks
} Ph.D. in Machine Learning from Carnegie Mellon University in 2013
} Spark allows fast, iterative analysis on laptop & cluster } Spark DataFrames, allow manipulation of an API inspired
by R & Python Pandas } ML Pipelines facilitate ML workflows and model tuning } Spark R provides an API for R users to work with
distributed data } Initial PMML support to export models to other tools
![Page 22: SFbayACM ACM Data Science Camp 2015 10 24](https://reader031.vdocuments.net/reader031/viewer/2022030310/58f9a9681a28ab11398b4567/html5/thumbnails/22.jpg)
Keynote Starts Now
![Page 23: SFbayACM ACM Data Science Camp 2015 10 24](https://reader031.vdocuments.net/reader031/viewer/2022030310/58f9a9681a28ab11398b4567/html5/thumbnails/23.jpg)
} 8:15 arrive, network, register for tutorial and camp } 8:50-10:50 Tutorial: Introduction to R for Machine
Learning
} 11:00 Camp Kickoff } Sponsors: ACM SIGKDD, PayPal, UCSC } 11:25 Keynote: Spark for Data Science, Big & Small } 12:25 Propose Sessions Ask for a “show of hands for interest” à Room Size } 1:15 Lunch, post Session Matrix } 2:00 Session 1 : (50 min for session, 10 min break) } 5:00 Session 4 } 6:00 Session Summary
![Page 24: SFbayACM ACM Data Science Camp 2015 10 24](https://reader031.vdocuments.net/reader031/viewer/2022030310/58f9a9681a28ab11398b4567/html5/thumbnails/24.jpg)
WiFi: conference Password: (none)
![Page 25: SFbayACM ACM Data Science Camp 2015 10 24](https://reader031.vdocuments.net/reader031/viewer/2022030310/58f9a9681a28ab11398b4567/html5/thumbnails/25.jpg)
Town Square A Main auditorium Largest sessions Summary session Town Square C
Coffee Food Sponsors
bathrooms Entrance
Registration Join ACM
Courtyard Eat Lunch
Fireside A
Fireside B
Fireside C
Fireside D
Powwow
Talk Soup Stairs
WiFi: conference Password: (none) www.SFbayACM.org
![Page 26: SFbayACM ACM Data Science Camp 2015 10 24](https://reader031.vdocuments.net/reader031/viewer/2022030310/58f9a9681a28ab11398b4567/html5/thumbnails/26.jpg)
WiFi: conference Password: (none) www.SFbayACM.org
![Page 27: SFbayACM ACM Data Science Camp 2015 10 24](https://reader031.vdocuments.net/reader031/viewer/2022030310/58f9a9681a28ab11398b4567/html5/thumbnails/27.jpg)
} Write a topic on a sheet of paper ◦ Facilitators name
} 60 seconds per suggestion! ◦ Ask for people to show hands for interest, count ◦ Ask for a time keeper (50 minutes for a session) ◦ Ask for a blogger, note taker or person to report ◦ http://www.campsite.org/list/733
} Based on interest amount, pick a session location and one of the 4 time frames
} Pick what to attend per session: ◦ 2:00 3:00 4:00 5:00
WiFi: conference Password: (none)
Twitter Tag #DSCAMP
![Page 28: SFbayACM ACM Data Science Camp 2015 10 24](https://reader031.vdocuments.net/reader031/viewer/2022030310/58f9a9681a28ab11398b4567/html5/thumbnails/28.jpg)
Session Proposals Start Now
![Page 29: SFbayACM ACM Data Science Camp 2015 10 24](https://reader031.vdocuments.net/reader031/viewer/2022030310/58f9a9681a28ab11398b4567/html5/thumbnails/29.jpg)
Concurrent Sessions 1-3 for the Camp
![Page 30: SFbayACM ACM Data Science Camp 2015 10 24](https://reader031.vdocuments.net/reader031/viewer/2022030310/58f9a9681a28ab11398b4567/html5/thumbnails/30.jpg)
Concurrent Sessions 4-6 for the Camp