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30
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S A T U R D A Y
Schedule subject to changes*
209
RM 208
8-8:45am
r
210A
e
g
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8:45-10:30am
s
t
210B
r
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i
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210C
n
Opening Remarks and Keynotes: Anthony Goldbloom & Josh Wills
c
10:30-11am
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f
f
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e
b
r
e
a
k
BUSINESS TRACK
11-11:45am
11:45am-12:30pm
Machine Learning for
suits
Workshop
Rahul Dave
Finance
Workshop
Yves Hilpisch
l
12:30-1:30pm
1:30-2:30pm
2:30-3:30pm
Predictive Analytics
w/ Microsoft Azure
Workshop
Boylu & Shah
u
n
c
Uplift Modeling
Workshop
Victor Lo
3:30-4:15pm
4:15-5:00pm
Predictive
Analytics
Workshop
Max Kuhn
Deep Learning
Workshop
Kate Saenko/Caffe
New CEO Super Power
-Damian Mingle
Machine Learning/Pet
Insurance
-Houk & Jaw
Jared Lander
Metric-driven Development
-Lynn Root
Paul Bamberg
h
b
r
e
e
t
w
o
DS - Data Science
r
k
k
Data Science in a Nutshell
-Vivian Zang
Crowdflower
-Lukas biewield
MGH
Crowd Sourced DS
Competitions
-Higgins & Singh
Booz-Allen-Hamilton
scikit-learn for Easy ML
- Gael Varoquax
Usama Fayyad
Gregor Stewart
Utilizing R in Sports
Business Ops
-Matthew Wills
Searching for Meaning in
the Deep Web
-Andy Terrel
Understanding the CDO-Steele
Partner Talk
Metis -Schumacher
n
a
Dev. Process for the
caret Package-Kuhn &
Deane-Meyer
Learning to Love
Bayesian Statistics
-Allen Downey
5:00-5:30pm
5:30 - 7:00pm
Bill Disch
Nick Bequary
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r
e
Business Track
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ML - Machine Learning
31
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Schedule subject to minor changes*
RM 208
RM 209
r
8:30 - 9:00am
9-9:45am
9:45-10:30am
The Vowal Wabbit ML
Toolkit Tutorial
-Paul Mineiro
12:00pm-1:00pm
3:00-4:00pm
4:00-5:00pm
5:00-6:00pm
i
Integration with the
Vernacular
-James Powell
c
Tools for Genomic Computation, Visualiation, & Integration-Michael Reich
Finding Patterns that
Indicate Human Trafficking
-Eric Schles
1:00pm-2:00pm
2:00-3:00pm
g
s
o
f
Text Analytics
and Sentiment
Workshop
Ted Kwartler
Machine Learning
with Scikit Learn
Workshop
Andrea Muller
t
o
n
Can We Automate
Predictive Analytics?
-Thomas Dinsmore
Fast & Smart: A Paradox
in Quantitative Trading
-Christina Qi
e
c
b
r
e
a
k
How to Win Kaggle
Competitions
-Owen Zhang
Open Source Reshapes
Analytics in the Finance
-Yves Hilpisch
Using Domain Expertise to
Shed Light on Unstructured
Data-Macmillan & Schnidman
Partner Talk
How Women are Conquering
the S&P 500
-Karen Rubin
Keeping Governments
Accountable With Open
DS-Podkul & Joffe
h
b
r
e
a
k
Braod Data Key to Winning-S.Lee
Open Data Open Source -Biewald
Partner Talk
Hybrid DS Project MGMT-E.K. Lee
Python, Storm, Kafka -Bourgoin
High Perf. Hardware-Pittaro
Bridging Data/Insight Gap-Arcolano
Graphs R Cool -White
Science of Infrastructure-Seltser
Steve Cohen
Big Data
Infrastructure
Haddop w/ MapReduce,
Pig, Hive
Workshop
Gilbert Benghiat
i
DataFrames: The Good,
Bad, and Ugly
-Wes McKinney
e
n
a
Domain Expertise w/
Unstructured Data
-Richard Robehr Bijjani
Data Workflows: Interate,
Collaborate, Reproduce
-David Chudzicki
u
r
RM 210C
Data Science at Dow Jones:
Monetizing Info
-Juan Huerta
Spark, Python, Cassandra
for Large Datasets
-Doug Eisenstein
l
Hands-on
Data Visualization
Workshop
Mark Schindler
& Bang Wong
f
t
RM 210B
On Demand Environments w/
IPython/Jupyter
-Odewahn & Kelley
Probabilistic Programming Mobile Technology Usage by
in Quantitative Finance
Humanitarian Programs
-Thomas Wiecki
-Lesh & Daya
10:30-11am
11-12:00pm
e
RM 210A
Robot vs. Disease -S. Singh
Graphs at Scale w/GPU -Bebee
xlwings: Excel & Python-Zumstein
Production Deep Learning -Gibson
RINFINITI Talk
While Teaching Python/DS-Diaz-Guerra
Scalable DS w/H2O -Candel
Partner Talk
Partner Talk
Partner Talk
Kenneth Reitz
Anna Smith
Partner Talk
Monary: MongoDB NumPY -Herlihy