Workshops

Deep Learning World Las Vegas

June 3-7, 2018

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.

James McCaffrey
James McCaffrey

Senior Scientist Engineer

Ricky Loynd
Ricky Loynd

Deep Reinforcement Learning Research Group


The following analytics workshops do not pertain to deep learning, but cover other analytics topics and are available in the days before and after Deep Learning World as part of the co-located Predictive Analytics World events taking place at that time.

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.

Marc Smith
Marc Smith

Chief Social Scientist

Connected Action Consulting Group

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.

Max Kuhn
Max Kuhn

Software Engineer

RStudio

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).

John Elder
John Elder

Founder & Chair

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.

Max Kuhn
Max Kuhn

Software Engineer

RStudio

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.

Dean Abbott
Dean Abbott

Co-Founder and Chief Data Scientist

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.

John Elder
John Elder

Founder & Chair

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.

Kim Larsen
Kim Larsen

Director of Marketing Analytics

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.

Dean Abbott
Dean Abbott

Co-Founder and Chief Data Scientist

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
James Casaletto

Senior Solutions Architect

MapR Technologies

Online Workshop

Predictive Analytics Applied – An Online Introduction

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.

Eric Siegel
Eric Siegel

Conference Founder

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