|
PAW Workshops – Coming to Four Cities in 2019
Along with top-tier keynotes and information-packed sessions, Predictive Analytics World brings you a wide selection of in-depth workshops this year in:
Each of the many full-day training workshops below occur in the days before or after a two-day Predictive Analytics World conference. Click one of the bullet items just above for information about a PAW conference, or click through below for more details about each of the individual training workshops listed in this email message.
Join your peers at the leading conference covering deployed machine learning – and select from stellar full-day training workshop, including two on deep learning.
Data Thinking
Martin Szugat - Datentreiber
• Munich - Wednesday, May 8
A quick introduction to the topics of design thinking and data strategy based on numerous real-world examples and practical exercises. At the end of the day, you’ll be able to independently develop and evaluate data strategies and apply the canvas tools Data Strategy, Data Landscape, and Analytics Maturity with your team.
Christian Spindler, CEO/Data Scientist - Data Head Analytics
• Munich - Wednesday, May 8
A use-case and demo-based guideline on how to draw most value from data science for the shop floor. At the end of the day, you’ll be able to independently conceptualize data-driven use cases for your organization, understand the steps to bring those cases to life, and know how to assess the value they bring for your company.
Big Data: The Leading Ways Data Science Changes Business Today
Marc Smith
, Chief Social Scientist - Connected Action Consulting Group
• Las Vegas – Sunday, June 16
This one day workshop reviews major big data success stories that have transformed businesses and created new markets.
R Bootcamp: For Newcomers to R
Brennan Lodge, Data Scientist VP - Goldman Sachs
• Las Vegas – Sunday, June 16
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: Machine Learning and Data Science Techniques
John Elder, Ph.D., Founder and Chair - Elder Research
• Las Vegas – Monday, June 17
• London – Tuesday, October 15
This one-day session surveys standard and advanced methods for predictive modeling (aka machine learning). You will learn the tremendous value of learning from data, how to create valuable predictive models with machine learning for your business and the best practices, with real-world stories of what happens when things go wrong.
R for Machine Learning: Hands-on Introduction
Brennan Lodge, Data Scientist VP - Goldman Sachs
• Las Vegas – Monday, June 17
Gain experience driving R for predictive modeling across real examples and data sets. Survey the pertinent modeling packages.
Supercharging Prediction with Ensemble Models
Dean Abbott, Co-Founder and Chief Data Scientist - SmarterHQ
• Las Vegas – Monday, June 17
This workshop dives into the key ensemble approaches, including Bagging, Random Forests, and Stochastic Gradient Boosting.
Deep Learning in Practice: A Hands-On Introduction
James McCaffrey, Senior Scientist Engineer - Microsoft
• Las Vegas – Monday, June 17
You will explore deep neural classification, LSTM time series analysis, convolutional image classification, advanced data clustering, bandit algorithms, and reinforcement learning.
The Deadly Dozen: The Top 12 Analytics Mistakes and the Techniques to Defeat Them
John Elder, Ph.D., Founder and Chair - Elder Research
• Las Vegas – Thursday, June 20
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.
Spark on Hadoop for Machine Learning: Hands-On Lab
James Casaletto, Senior Solutions Architect - MapR Technologies
• Las Vegas – Thursday, June 20
Gain the power to extract signals from big data on your own, without relying on data engineers and Hadoop specialists.
Hands-On Deep Learning in the Cloud: Fast and Lean Data Science with Tensorflow, Keras, and TPUs
Martin Gorner, Developer Relations - Google
• Las Vegas – Thursday, June 20
During this workshop, you will gain hands-on experience deploying deep learning on Google’s TPUs (Tensor Processing Units).
Predictive Analytics for Practitioners
Dean Abbott, Co-Founder and Chief Data Scientist - SmarterHQ
• Berlin – Monday, November 18
This workshop will cover the practical considerations for using predictive analytics in your organization through the six stages in the predictive modeling process: Business Understanding, Data Understanding, Data Preparation, Modeling, Evaluation, Deployment.
Predictive Analytics Applied – An Online Introduction
Eric Siegel, Conference Founder - Predictive Analytics World
• Online Workshop
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.
|
Previous post
