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Pick Up New Skills at Predictive Analytics World Workshops
Las Vegas, June 2018
Predictive Analytics World is so much more than great keynotes and breakout sessions across four cutting-edge verticals:
Predictive Analytics World also features 8 full-day workshops:
Sunday, June 3
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. Marc Smith, Chief Social Scientist, Connected Action Consulting Group
R Bootcamp: For Newcomers to R
This 2.5-hour evening workshop launches your tenure as a user of R, the well-known open-source platform for data analysis. This is an optional workshop and is meant as prep for the full-day workshop. Max Kuhn, Software Engineer, RStudio
Monday, June 4
R for Machine Learning: A Hands-On Introduction
Full-day. Gain experience driving R for predictive modeling across real examples and data sets. Survey the pertinent modeling packages. Max Kuhn, Software Engineer, RStudio
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). John Elder, Founder & Chair, Elder Research
The Advanced Data Preparation Bootcamp: Whip your Data into Shape
Full-day. Dive in hands-on with crucial data prep steps, including cleaning, missing value imputation, feature creation/selection, and sampling. Dean Abbott, Co-Founder and Chief Data Scientist, Smarter HQ
Thursday, June 7
The Deadly Dozen: The Top 12 Analytics Mistakes and the Techniques to Defeat Them
This one-day session reveals the subtle mistakes analytics practitioners often make when facing a new challenge (the “deadly dozen”), and clearly explains the advanced methods seasoned experts use to avoid those pitfalls and build accurate and reliable models. John Elder, Founder & Chair, Elder Research
Uplift Models: Optimizing the Impact of Your Marketing
This full-day workshop demonstrates how to build Net Lift Models that optimize the incremental impact of marketing campaigns, covering the pros and cons of various core analytical approaches. Kim Larsen, Director of Marketing Analytics, UBER
Supercharging Prediction with Ensemble Models
This full-day workshop dives into the key ensemble approaches including Bagging, Random Forests, and Stochastic Gradient Boosting. Dean Abbott, Co-Founder and Chief Data Scientist, Smarter HQ
Spark on Hadoop for Machine Learning: Hands-On Lab
Full-day. Gain the power to extract signals from big data on your own, without relying on data engineers and Hadoop specialists. James Casaletto, Senior Solutions Architect, MapR Technologies
Since 2009, Predictive Analytics World has been the leading event on advanced analytics and machine learning - it's a must-attend for data scientists who need the latest techniques. Come see the experts speak in Las Vegas, June 3-7, 2018
We predict that these workshops will make you smarter, faster, and more valuable to your company. Remember, the brain likes nothing more than learning something new!
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