Workshops
Predictive Analytics World
June 3-7, 2018 – Caesars Palace, Las Vegas
Blue circle workshops are for All Levels
Red triangle workshops are Expert/Practitioner Level
Sunday, June 3
Big Data: Proven Methods You Need to Extract Big Value
Full-day: 8:30am – 4:30pm
This one day workshop reviews major big data success stories that have transformed businesses and created new markets.
Sunday, June 3
R Bootcamp:
For Newcomers to R
Two and a half hour evening workshop:
6:30-9:00pm
This 2.5 hour workshop launches your tenure as a user of R, the well-known open-source platform for data analysis.
Monday, June 4
The Best of Predictive Analytics: Core Machine Learning and Data Science Techniques
Full-day: 8:30am – 4:30pm
This one-day session surveys standard and advanced methods for predictive modeling (aka machine learning).
Monday, June 4
R for Machine Learning: A Hands-On Introduction
Full-day: 8:30am – 4:30pm
Gain experience driving R for predictive modeling across real examples and data sets. Survey the pertinent modeling packages.
Monday, June 4
The Advanced Data Preparation Bootcamp: Whip your Data into Shape
Full-day: 8:30am – 4:30pm
Dive in hands-on with crucial data prep steps, including cleaning, missing value imputation, feature creation/selection, and sampling.
Monday, June 4
Deep Learning in Practice: A Hands-On Introduction
Full-day: 8:30am – 4:30pm
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.
Thursday, June 7
The Deadly Dozen: The Top 12 Analytics Mistakes and the Techniques to Defeat Them
Full-day: 8:30am – 4:30pm
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.
Thursday, June 7
Uplift Models: Optimizing the Impact of Your Marketing
Full-day: 8:30am – 4:30pm
This workshop demonstrates how to build uplift models (aka net lift models) that optimize the incremental impact of marketing campaigns, covering the pros and cons of various core analytical approaches.
Thursday, June 7
Supercharging Prediction with Ensemble Models
Full-day: 8:30am – 4:30pm
This workshop dives into the key ensemble approaches, including Bagging, Random Forests, and Stochastic Gradient Boosting.
Thursday, June 7
Spark on Hadoop for Machine Learning: Hands-On Lab
Full-day: 8:30am – 4:30pm
Gain the power to extract signals from big data on your own, without relying on data engineers and Hadoop specialists.
James Casaletto
PhD Candidate
UC Santa Cruz Genomics Institute and former Senior Solutions Architect, MapR
Online Workshop
Predictive Analytics Applied – An Online Introduction
Full-day: 8:30am – 4:30pm
New to predictive analytics? Take this online course instructed by the founder of PAW to ramp up before the conference. On-demand access at any time.
