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Dates: June 3-7, 2018 | Register here
Prices: starting from USD 150,-
Location: Las Vegas, the United States
Prices: starting from USD 150,-
Location: Las Vegas, the United States
Deep Learning World 2018
Deep Learning World is the premier conference covering the commercial deployment of deep learning.
The event’s mission is to foster breakthroughs in the value-driven operationalization of established deep learning methods.
DLW is co-located alongside four established industry Predictive Analytics World events — PAW Business, PAW Financial, PAW Healthcare, and PAW Manufacturing — which will compose PAW’s single “mega” event for 2018.
Why attend?
Come to Deep Learning World and access the best keynotes, sessions, workshops, vendor exposition, networking coffee breaks, reception, networking lunches, brand-name enterprise leaders, and industry heavyweights in the business.
Workshops
- Deep Learning in Practice: A Hands-On Introduction
This one-day introductory workshop dives deep. You will explore deep neural classification, LSTM time series analysis, convolutional image classification, advanced data clustering, bandit algorithms, and reinforcement learning.
- Big Data: Proven Methods You Need to Extract Big Value
This one day workshop reviews major big data success stories that have transformed businesses and created new markets.
- R Bootcamp: For Newcomers to R
This 2.5 hour workshop launches your tenure as a user of R, the well-known open-source platform for data analysis.
- The Best of Predictive Analytics: Core Machine Learning and Data Science Techniques
This one-day session surveys standard and advanced methods for predictive modeling (aka machine learning).
- R for Machine Learning: A Hands-On Introduction
Gain experience driving R for predictive modeling across real examples and data sets. Survey the pertinent modeling packages.
- The Advanced Data Preparation Bootcamp: Whip your Data into Shape
Dive in hands-on with crucial data prep steps, including cleaning, missing value imputation, feature creation/selection, and sampling.
- The Deadly Dozen: The Top 12 Analytics Mistakes and the
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