Announcing DataPalooza Seattle! February 9-11, 2016

location-pic

Galvanize Seattle

111 S Jackson St, Seattle, WA 98104

You will notice Day 2 and 3 sessions are repeating, this is to allow all our Datapalooza attendees the opportunity to take sessions from both tracks over the course of 2 days.

Levels of expertise:

Beginner

Intermediate

Advanced

12:30pm Doors Open
01 - 02pm Lunch
08:30 - 10am Training Keynote
Keynote: Nir Kaldero, Galvanize, Director Of Data Science, Head Of Galvanize Experts
02 - 05pm Afternoon Sessions

Data Science

02:00 - 02:55pm

Intro to Python for Data Science

Nir Kaldero (Galvanize)


Data Engineering

02:00 - 04:55pm

Data Pipelines in Scala and Clojure

Alexy Khabrov (Nitro Inc.)


Evan Chan (Nitro Inc.)


Aria Haghighi (Pioneer Square Labs)


3 pm
03:00 - 03:55pm

Introduction using IBM Analytics for Apache Spark

Adam Cox (IBM)


4 pm
04:00 - 04:55pm

Introduction to Anaconda Cluster for Scientific Workflows

Peter Steinberg (Continuum Analytics)


05 - 06pm Mentor / Hack Time
06 - 08pm Spark Community Meetup
08:30 - 10am Breakfast & morning inspiration and keynote
Keynote: James Gwertzman, PlayFab, Co-Founder and CEO
10 - 01pm Morning Sessions

Data Science

10:00 - 10:55am

How to Master Feature Engineering for Predictive Modeling

Michael Schmidt (Nutonian)


10:00 - 10:55am

Combining Human Insights and Artificial Intelligence at Spare5

Andrew Ganse (Spare5)


Data Engineering

10:00 - 10:55am

Scala and Spark: Coevolving Ecosystems for Big Data

John Nestor (47 Degrees)


11 am
11:00 - 11:55am

Machine learning at scale with Apache Spark

Martin Zapletal (Cake Solutions)


11:00 - 11:55am

Algorithm Marketplaces and the New "Algorithm Economy"

Diego Oppenheimer (Algorithmia)


11:00 - 11:55pm

Practical Data Engineering Technics in Data Science: A Text Classification Usecase on Spark

Mokhtar Kandil (IBM)


12 pm
12:00 - 12:55pm

ML with Python and H20

Cliff Click (H20)


12:00 - 12:55pm

Hunting Criminals with Hybrid Analytics

David Talby (Atigeo)


12:00 - 12:55pm

Semantic Analysis of Natural Language using Mallet and Python

Rob McDaniel (PayScale)


01 - 02pm Lunch
02 - 05pm Afternoon Sessions

Data Science

02:00 - 02:55pm

Deploying ML to Production

Roman Schindlauer (Dato)


02:00 - 02:55pm

The Daily Cold Start Problem: Recommendation at zulily with H20

Dr. Imri Sofer (zulily)


Hank Roark (H20)


Data Engineering

02:00 - 02:55pm

Predicting and Preventing Vehicle Failures Using Streaming Telematics Analysis

Dillon Woods (zData Inc.)


3 pm
03:00 - 03:55pm

Mathematics for Data

Brian Mann (Galvanize)


03:00 - 03:55pm

Building a Word2Vec Model with Twitter Data

Jorge Castanonn (IBM)


03:00 - 03:55pm

Essential Economics for Data Scientists

Benjamin Skrainka (Galvanize)


4 pm
04:00 - 04:55pm

Data to Action with IBM Bluemix

Tipton Loo (ProKarma, Inc.)


04:00 - 04:55pm

Tuning Your Workflow to Produce Better Models: Verification, Validation, and Uncertainty Quantification

Benjamin Skrainka (Galvanize)


04:00 - 04:55pm

New Open Source Project - Analytics on the Edge

Jacques Roy (IBM)


05 - 06pm Mentor / Hack Time
06:30pm Food & Beverage
08pm Concert
08:30 - 10am Breakfast & morning inspiration and keynote
Keynote: Adam Farish, 8Stem, CEO And Founder
10 - 01pm Morning Sessions

Data Science

10:00 - 10:55am

How to Master Feature Engineering for Predictive Modeling

Michael Schmidt (Nutonian)


10:00 - 10:55am

Combining Human Insights and Artificial Intelligence at Spare5

Andrew Ganse (Spare5)


Data Engineering

10:00 - 10:55am

Scala and Spark: Coevolving Ecosystems for Big Data

John Nestor (47 Degrees)


11 am
11:00 - 11:55am

Machine learning at scale with Apache Spark

Martin Zapletal (Cake Solutions)


11:00 - 11:55am

Algorithm Marketplaces and the New "Algorithm Economy"

Diego Oppenheimer (Algorithmia)


11:00 - 11:55pm

Practical Data Engineering Technics in Data Science: A Text Classification Usecase on Spark

Mokhtar Kandil (IBM)


12 pm
12:00 - 12:55pm

ML with Python and H20

Cliff Click (H20)


12:00 - 12:55pm

Hunting Criminals with Hybrid Analytics

David Talby (Atigeo)


12:00 - 12:55pm

Semantic Analysis of Natural Language using Mallet and Python

Rob McDaniel (PayScale)


01 - 02pm Lunch
02 - 05pm Afternoon Sessions

Data Science

02:00 - 02:55pm

Deploying ML to Production

Roman Schindlauer (Dato)


02:00 - 02:55pm

The Daily Cold Start Problem: Recommendation at zulily with H20

Dr. Imri Sofer (zulily)


Hank Roark (H20)


Data Engineering

02:00 - 02:55pm

Predicting and Preventing Vehicle Failures Using Streaming Telematics Analysis

Dillon Woods (zData Inc.)


3 pm
03:00 - 03:55pm

Mathematics for Data

Brian Mann (Galvanize)


03:00 - 03:55pm

Building a Word2Vec Model with Twitter Data

Jorge Castanonn (IBM)


03:00 - 03:55pm

Essential Economics for Data Scientists

Benjamin Skrainka (Galvanize)


4 pm
04:00 - 04:55pm

Data to Action with IBM Bluemix

Tipton Loo (ProKarma, Inc.)


04:00 - 04:55pm

Tuning Your Workflow to Produce Better Models: Verification, Validation, and Uncertainty Quantification

Benjamin Skrainka (Galvanize)


04:00 - 04:55pm

New Open Source Project - Analytics on the Edge

Jacques Roy (IBM)


05 - 06pm Mentor / Hack Time
12:30pm Doors Open
01 - 02pm Lunch
08:30 - 10am Training Keynote
Keynote: Nir Kaldero, Galvanize, Director Of Data Science, Head Of Galvanize Experts
02 - 05pm Afternoon Sessions
02:00 - 02:55pm

Intro to Python for Data Science

Nir Kaldero (Galvanize)



02:00 - 04:55pm

Data Pipelines in Scala and Clojure

Alexy Khabrov (Nitro Inc.)


Evan Chan (Nitro Inc.)


Aria Haghighi (Pioneer Square Labs)



3 pm
03:00 - 03:55pm

Introduction using IBM Analytics for Apache Spark

Adam Cox (IBM)



4 pm
04:00 - 04:55pm

Introduction to Anaconda Cluster for Scientific Workflows

Peter Steinberg (Continuum Analytics)



05 - 06pm Mentor / Hack Time
06 - 08pm Spark Community Meetup
08:30 - 10am Breakfast & morning inspiration and keynote
Keynote: James Gwertzman, PlayFab, Co-Founder and CEO
10 - 01pm Morning Sessions
10:00 - 10:55am

How to Master Feature Engineering for Predictive Modeling

Michael Schmidt (Nutonian)



10:00 - 10:55am

Combining Human Insights and Artificial Intelligence at Spare5

Andrew Ganse (Spare5)



10:00 - 10:55am

Scala and Spark: Coevolving Ecosystems for Big Data

John Nestor (47 Degrees)



11 am
11:00 - 11:55am

Machine learning at scale with Apache Spark

Martin Zapletal (Cake Solutions)



11:00 - 11:55am

Algorithm Marketplaces and the New "Algorithm Economy"

Diego Oppenheimer (Algorithmia)



11:00 - 11:55pm

Practical Data Engineering Technics in Data Science: A Text Classification Usecase on Spark

Mokhtar Kandil (IBM)



12 pm
12:00 - 12:55pm

ML with Python and H20

Cliff Click (H20)



12:00 - 12:55pm

Hunting Criminals with Hybrid Analytics

David Talby (Atigeo)



12:00 - 12:55pm

Semantic Analysis of Natural Language using Mallet and Python

Rob McDaniel (PayScale)



01 - 02pm Lunch
02 - 05pm Afternoon Sessions
02:00 - 02:55pm

Deploying ML to Production

Roman Schindlauer (Dato)



02:00 - 02:55pm

The Daily Cold Start Problem: Recommendation at zulily with H20

Dr. Imri Sofer (zulily)


Hank Roark (H20)



02:00 - 02:55pm

Predicting and Preventing Vehicle Failures Using Streaming Telematics Analysis

Dillon Woods (zData Inc.)



3 pm
03:00 - 03:55pm

Mathematics for Data

Brian Mann (Galvanize)



03:00 - 03:55pm

Building a Word2Vec Model with Twitter Data

Jorge Castanonn (IBM)



03:00 - 03:55pm

Essential Economics for Data Scientists

Benjamin Skrainka (Galvanize)



4 pm
04:00 - 04:55pm

Data to Action with IBM Bluemix

Tipton Loo (ProKarma, Inc.)



04:00 - 04:55pm

Tuning Your Workflow to Produce Better Models: Verification, Validation, and Uncertainty Quantification

Benjamin Skrainka (Galvanize)



04:00 - 04:55pm

New Open Source Project - Analytics on the Edge

Jacques Roy (IBM)



05 - 06pm Mentor / Hack Time
06:30pm Food & Beverage
08pm Concert
08:30 - 10am Breakfast & morning inspiration and keynote
Keynote: Adam Farish, 8Stem, CEO And Founder
10 - 01pm Morning Sessions
10:00 - 10:55am

How to Master Feature Engineering for Predictive Modeling

Michael Schmidt (Nutonian)



10:00 - 10:55am

Combining Human Insights and Artificial Intelligence at Spare5

Andrew Ganse (Spare5)



10:00 - 10:55am

Scala and Spark: Coevolving Ecosystems for Big Data

John Nestor (47 Degrees)



11 am
11:00 - 11:55am

Machine learning at scale with Apache Spark

Martin Zapletal (Cake Solutions)



11:00 - 11:55am

Algorithm Marketplaces and the New "Algorithm Economy"

Diego Oppenheimer (Algorithmia)



11:00 - 11:55pm

Practical Data Engineering Technics in Data Science: A Text Classification Usecase on Spark

Mokhtar Kandil (IBM)



12 pm
12:00 - 12:55pm

ML with Python and H20

Cliff Click (H20)



12:00 - 12:55pm

Hunting Criminals with Hybrid Analytics

David Talby (Atigeo)



12:00 - 12:55pm

Semantic Analysis of Natural Language using Mallet and Python

Rob McDaniel (PayScale)



01 - 02pm Lunch
02 - 05pm Afternoon Sessions
02:00 - 02:55pm

Deploying ML to Production

Roman Schindlauer (Dato)



02:00 - 02:55pm

The Daily Cold Start Problem: Recommendation at zulily with H20

Dr. Imri Sofer (zulily)


Hank Roark (H20)



02:00 - 02:55pm

Predicting and Preventing Vehicle Failures Using Streaming Telematics Analysis

Dillon Woods (zData Inc.)



3 pm
03:00 - 03:55pm

Mathematics for Data

Brian Mann (Galvanize)



03:00 - 03:55pm

Building a Word2Vec Model with Twitter Data

Jorge Castanonn (IBM)



03:00 - 03:55pm

Essential Economics for Data Scientists

Benjamin Skrainka (Galvanize)



4 pm
04:00 - 04:55pm

Data to Action with IBM Bluemix

Tipton Loo (ProKarma, Inc.)



04:00 - 04:55pm

Tuning Your Workflow to Produce Better Models: Verification, Validation, and Uncertainty Quantification

Benjamin Skrainka (Galvanize)



04:00 - 04:55pm

New Open Source Project - Analytics on the Edge

Jacques Roy (IBM)



05 - 06pm Mentor / Hack Time

Come for the data products,
stay for the concert!

A Special Performance from Indie Rock Darlings, Pickwick, is included with your Datapalooza Ticket!

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