ODSC Masterclass Summit 2017

Premium Data Science Training

March 1-2 • San Francisco Airport Marriott Waterfront

Ticket prices increase in:

Superior Training for Career Enhancing Skills

The ODSC masterclass summit offers premium training taught by the best and brightest AI and data science instructors on the planet.  Our hands-on workshops and in-depth training sessions will help accelerate your career by quickly getting you up to speed on some of the most sought after skills in the job market.  Over two intense days of workshop and training modules, you will train on the hottest skills in data science including deep learning, machine learning, predictive analytics, text analytics, Python, R and many more.
Andreas Mueller
Andreas Mueller

Author of Introduction to Machine Learning with Python

Lecturer at Columbia University, core developer of scikit-learn

Rumman Chowdhury
Rumman Chowdhury

Senior Manager at Accenture AI

Jared Lander
Jared Lander

Author of R for Everyone

CEO at Lander Analytics


Why Attend?

Superior Instructors: Our instructors are not just anybody. We only accept the best. These are some of the top contributors and data scientists in their field such as Andy Muller from scikit-learn and Jared Lander from Lander Analytics. Not only do you learn the content but also insights you won’t get elsewhere.

Training for all Levels: Regardless of if you are just starting your AI and data science career, or are already an established data scientist, we have training modules for you. Workshops and trainings are structured to go as broad or as in-depth on a topic as you feel comfortable with.

Better Networking: Connect with top level instructors and network with your peers. We will also have an on-premises career fair with many companies looking to hire.

Masterclass Summit 2017

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Workshops & Trainings

We have 16 workshops (1.5-hour) and 28 trainings (4-hour) for you to choose from.

Our intensive, hands-on training will accelerate your knowledge of machine learning, deep learning, data visualization and other in-demand data science topics.

Taught by some of the best minds in data science these workshops will give you the knowledge and experience that is exploding in demand across all industries.

Career Fair

Representatives from top data science companies will be seeking talented individuals at the Masterclass Summit. Stop by the career fair and bring your A-game. You could get hired in no time.

Interested in Hiring?

Days
1.5-hour Workshops
4-hour Trainings
Attendees

Partner Brief1

Partnering With ODSC

Last year, ODSC welcomed nearly 12,000 attendees in an unparalleled range of events from our large conferences, to hackathons and small community gatherings.

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Training Pass
$479 (70% off)
Access to Workshops
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Access to Career Fair
Access to Recorded Talks
Conference Messaging App
Access to Networking Events
Skip Lines & Reserved Seating
Access To Speakers Lounge
VIP Lunch
VIP Pass
$879 (70% off)
Access to Workshops
Access to Trainings
Access to Exhibition Floor
Access to Career Fair
Access to Recorded Talks
Conference Messaging App
Access to Networking Events
Skip Lines & Reserved Seating
Access To Speakers Lounge
VIP Lunch
Access to Workshops
Access to Trainings
Access to Exhibition Floor
Access to Career Fair
Access to Recorded Talks
Conference Messaging App
Access to Networking Events
Skip Lines & Reserved Seating
Access To Speakers Lounge
VIP Lunch
Training Pass
$1759
Access to Workshops
Access to Trainings
Access to Exhibition Floor
Access to Career Fair
Access to Recorded Talks
Conference Messaging App
Access to Networking Events
Skip Lines & Reserved Seating
Access To Speakers Lounge
VIP Lunch
VIP Pass
$2399
Access to Workshops
Access to Trainings
Access to Exhibition Floor
Access to Career Fair
Access to Recorded Talks
Conference Messaging App
Access to Networking Events
Skip Lines & Reserved Seating
Access To Speakers Lounge
VIP Lunch

Super Early Bird
Early Bird
Door Price
Sold Out!
Access to Workshops
Access to Trainings
Access to Exhibition Floor
Access to Career Fair
Access to Recorded Talks
Conference Messaging App
Access to Networking Events
Skip Lines & Reserved Seating
Access To Speakers Lounge
VIP Lunch
Training Pass
$599 (70% off)
Access to Workshops
Access to Trainings
Access to Exhibition Floor
Access to Career Fair
Access to Recorded Talks
Conference Messaging App
Access to Networking Events
Skip Lines & Reserved Seating
Access To Speakers Lounge
VIP Lunch
VIP Pass
$1099 (70% off)
Access to Workshops
Access to Trainings
Access to Exhibition Floor
Access to Career Fair
Access to Recorded Talks
Conference Messaging App
Access to Networking Events
Skip Lines & Reserved Seating
Access To Speakers Lounge
VIP Lunch
Access to Workshops
Access to Trainings
Access to Exhibition Floor
Access to Career Fair
Access to Recorded Talks
Conference Messaging App
Access to Networking Events
Skip Lines & Reserved Seating
Access To Speakers Lounge
VIP Lunch
Training Pass
$2199
Access to Workshops
Access to Trainings
Access to Exhibition Floor
Access to Career Fair
Access to Recorded Talks
Conference Messaging App
Access to Networking Events
Skip Lines & Reserved Seating
Access To Speakers Lounge
VIP Lunch
VIP Pass
$2999
Access to Workshops
Access to Trainings
Access to Exhibition Floor
Access to Career Fair
Access to Recorded Talks
Conference Messaging App
Access to Networking Events
Skip Lines & Reserved Seating
Access To Speakers Lounge
VIP Lunch

*** Group discounts are available for parties of 5 or more. ***

Super Early Bird
Early Bird
Door Price
Sold Out!
Access to Workshops
Access to Trainings
Access to Exhibition Floor
Access to Career Fair
Access to Recorded Talks
Conference Messaging App
Access to Networking Events
Skip Lines & Reserved Seating
Access To Speakers Lounge
VIP Lunch
Training Pass
*****
Access to Workshops
Access to Trainings
Access to Exhibition Floor
Access to Career Fair
Access to Recorded Talks
Conference Messaging App
Access to Networking Events
Skip Lines & Reserved Seating
Access To Speakers Lounge
VIP Lunch
VIP Pass
*****
Access to Workshops
Access to Trainings
Access to Exhibition Floor
Access to Career Fair
Access to Recorded Talks
Conference Messaging App
Access to Networking Events
Skip Lines & Reserved Seating
Access To Speakers Lounge
VIP Lunch
Access to Workshops
Access to Trainings
Access to Exhibition Floor
Access to Career Fair
Access to Recorded Talks
Conference Messaging App
Access to Networking Events
Skip Lines & Reserved Seating
Access To Speakers Lounge
VIP Lunch
Training Pass
*****
Access to Workshops
Access to Trainings
Access to Exhibition Floor
Access to Career Fair
Access to Recorded Talks
Conference Messaging App
Access to Networking Events
Skip Lines & Reserved Seating
Access To Speakers Lounge
VIP Lunch
VIP Pass
*****
Access to Workshops
Access to Trainings
Access to Exhibition Floor
Access to Career Fair
Access to Recorded Talks
Conference Messaging App
Access to Networking Events
Skip Lines & Reserved Seating
Access To Speakers Lounge
VIP Lunch

Workshop & Training List

More workshops (1.5-hour) & trainings (4-hour) coming soon!

Introduction to Machine Learning with Andreas Mueller, core developer of scikit-learn

The resurging interest in machine learning is due to multiple factors including growing volumes and varieties of data,and cheaper computational processing. Thus making it possible to quickly and automatically produce models that can analyze bigger, more complex data and deliver faster, more accurate results on a very large scale. Scikit-learn (http://scikit-learn.org/) has emerged as one of the most popular open source machine learning toolkits, now widely used in academia and industry.

scikit-learn provides easy-to-use interfaces in Python to perform advanced analysis and build powerful predictive models.

Bio

Andreas Mueller received his MS degree in Mathematics (Dipl.-Math.) in 2008 from the Department of Mathematics at the University of Bonn. In 2013, he finalized his PhD thesis at the Institute for Computer Science at the University of Bonn. After working as a machine learning scientist at the Amazon Development Center Germany in Berlin for a year, he joined the Center for Data Science at the New York University in the end of 2014. In his current position as assistant research engineer at the Center for Data Science, he works on open source tools for machine learning and data science. He is one of the core contributors of scikit-learn, a machine learning toolkit widely used in industry and academia, for several years, and has authored and contributed to a number of open source projects related to machine learning.

Curriculum

This workshop will cover basic concepts of machine learning, such as supervised and unsupervised learning, cross-validation and model selection, and how they map to programming concepts in scikit-learn. Andreas will demonstrate how to prepare data for machine learning, and go from applying a single algorithm to building a machine learning pipeline. We will cover the trade-offs of learning on large datasets, and describe some techinques to handle larger-than-RAM and streaming data on a single machine.

Prerequisites

TBD

Introduction to Deep Learning with Tensorflow Contributor and Kaggle Winner Dan Becker

Machine learning applications depend on a researcher handcrafting features. Deep learning has become hugely important since it allows a deep network to learn features by itself. Deep learning modeling is mostly unsupervised and by utilizing large-scale neural nets allow computers to learn and “think” by itself without the need for direct human intervention. Deep learning promises to revolutionize tasks such as image recognition, speech recognition, and other AI challenges.

Bio

Data Becker is a data scientist with track record of success in deep learning, machine learning and enterprise applications of data science. As an adjunct professor he taught statistics while completing a PhD in Econometrics. He has contributed to the Keras and Tensorflow libraries for deep learning, and wrote the Autoencoder class for PyLearn2. He won 1st place in Dataquest Unite and also won 2nd place (out of 1353 teams) in the $3 million Heritage Health Prize data mining competition. Dan is currently Product Director at DataRobot, an advanced machine learning platform

Curriculum

  • Want to make the jump to deep learning? This workshop covers everything you need to get started. You will use the keras library to build deep learning models on both numeric and image data. Topics include basic model set-up, multi-class classification, convolutional neural networks and tips to debug your first neural network models.
  • This workshop will introduce participants to the basic concepts of deep learning and its most promising applications. Participants will get a taste of this exciting field at the intersection of AI and machine learning. The workshop will utilize popular open source deep learning tools combined with practical exercises and programming assignments.

Prerequisites

TBD

Deep Learning with H2O Open Platform with Jo-fai (Joe) Chow

H2O is fast scalable open-source machine learning and deep learning platform. Using in-memory compression techniques, H2O can handle billions of data rows in-memory — even on small compute clusters. The platform includes interfaces for R, Python, Scala, Java, JS and JSON, along with its interactive graphical Flow interface that make it easier for non-engineers to stitch together complete analytic workflows. H2O was built alongside (and on top of) both Hadoop and Spark clusters and is deployed within minutes. It is a math and machine learning engine that brings distribution and parallelism to powerful algorithms that enable you to make better predictions and more accurate models faster.

Bio

Jo-fai (Joe) is a data scientist at H2O.ai. Before joining H2O, he was in the business intelligence team at Virgin Media where he developed data products to enable quick and smart business decisions. He also worked remotely for Domino Data Lab as a data science evangelist promoting products via blogging and giving talks at meetups.

Curriculum

  • Gridlines
  • Pipe Search
  • Deep Water

Prerequisites

TBD

Modeling in R with Jared Lander, Chief Data Scientist of Lander Analytics and Author of R for Everyone,

At one point the open source language, R, was considered the lingua franca for data science in terms of programming. As more languages competing for that title, R still has a very passionate following. In fact, one of the main strengths of R is its huge community that provides open source user-contributed packages (CRAN), documentation and very active user support group. R packages are a collection of R functions and data that make it easy to immediately get access to the latest techniques and functionalities without needing to develop everything from scratch yourself.

Bio

Jared Lander is theChief Data scientist at Lander Analytics, Columbia Professor, Author of R for Everyone and Organizer of the World's Largest R Meetup

Curriculum

The linear model, and its extensions, forms the backbone of statistical analysis. In this course we cover Linear Regression using `lm`, Generalized Linear Models using `glm` and model assessment using `AIC`, `BIC` and other measures. The focus will be mainly on applied programming, though theoretical properties and derivations will be taught where appropriate. Attendees should already have a basic knowledge of linear models and have R and RStudio installed, along with the `UsingR`, `ggplot2` and `coefplot` packages. Linear Models: Learn about the best fit line, Understand the formula interface in R, Understand the design matrix, Fit Models with `lm`, Visualize the coefficients with `coefplot`, Make predictions on new data. Generalized Linear Models: Learn about Logistic Regression for classification, Learn about Poisson Regression for count data, Fit models with `glm`, Visualize the coefficients with `coefplot`, Model Assessment, Compare models, `AIC`,’BIC`

Prerequisites

TBD

Deploying and Scaling Spark ML and Tensorflow AI Models with Chris Fregly, Research Scientist, Contributor, Author and Trainer

Apache Spark is becoming increasing popular for big data science projects. Spark can handle large volumes of data significantly faster and easier than other platforms, and it includes tools for real-time processing, machine learning, and interactive SQL. It is quickly being adopted by industry to achieve business objectives that need data and data science at scale.

Bio

Chris Fregly is a Reaserach Scientist at Pipeline.IO. Chris is also the founder of the global Advanced Apache Spark Meetup and author of the upcoming book, Advanced Spark @ advancedspark.com. Previously, Chris was a Data Solutions Engineer at Databricks and a Streaming Data Engineer at Netflix. When Chris isn’t contributing to Spark and other open source projects, he’s creating book chapters, slides, and demos to share knowledge with his peers at meetups and conferences throughout the world.

Curriculum

In this workshop, we will train, deploy, and scale Spark ML and Tensorflow AI Models in a distributed, hybrid-cloud and on-premise production environment. We will use 100% open source tools including Tensorflow, Spark ML, Jupyter Notebook, Docker, Kubernetes, and NetflixOSS Microservices. This talk will discuss the trade-offs of mutable vs. immutable model deployments, on-the-fly JVM byte-code generation, global request batching, miroservice circuit breakers, and dynamic cluster scaling - all from within a Jupyter notebook. All code and docker images are 100% open source and available from Github and DockerHub at http://pipeline.io.

Prerequisites

TBD

16 Workshops | 28 Trainings

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San Francisco Airport Marriott Waterfront

1800 Old Bayshore Highway, Burlingame, CA 94010
650-692-9100