Predictive Analytics Customer Workshop in Vancouver
PLEASE FIND THE EVENT RESOURCES HERE (Password: Azure)
Join us for an exciting, one-day learning event on predictive analytics using Microsoft Azure.
WHO SHOULD ATTEND
Data Scientists, Developers & Programmers, Architects, and Analysts
WHY SHOULD I ATTEND?
Azure Machine Learning is an exciting new Microsoft product that allows rapidly add the power of Machine Learning to their efforts. If your business deals with data, Azure ML can add value.
LOCATIONS AND DATES
March 25, 2015, 9AM-6PM
1111 W Georgia St, Suite 1100, Vancouver, British Columbia V6E 4M3, Canada
The workshop will include information and hands-on lab sessions covering Predictive Analytics scenarios with Big and real-time data and Machine Learning.
|10:00 AM||Presentations: What is Data Science? What is Predictive Analytics?|
|12:00 PM||Lunch and Demo of Azure ML working with Power BI|
|2:00 PM||Building a Marketing Mix Model in Azure ML|
|3:30 PM||Setting up Excel to Send Data to Azure ML, and Get Predictions Back Via AML’s API|
|5:00 PM||Using R in Azure ML|
Please bring your laptop to the workshop for participation in the hands-on labs. Please make sure you have a valid Azure Subscription – trial subscription is fine.
There is no fee for attending this event. Participants are responsible for covering their own travel expenses.
ABOUT THE INSTRUCTOR:
Zach Perkel is a Lead Data Scientist at Neal Analytics where he focuses on developing machine learning models for online auctions, recommender systems, and the Internet of Things. Before joining Neal Analytics, Zach worked for eight years in various positions in research and development, strategy, and analytics. In addition, Zach has deep industry knowledge in energy and manufacturing. Zach holds a MBA and M.S. in Mechanical Engineering from the Georgia Institute of Technology and a BS in Bioengineering from UC Berkeley.
ABOUT NEAL ANALYTICS:
Neal Analytics is a solution integration firm specializing in Big Data, Data Warehousing, Business Intelligence, and Predictive Analytics services. Our specialty is using Azure Machine Learning and advanced predictive analytics to achieve a positive business outcome in the consumer goods, manufacturing, retail, marketing, and energy industries. Typically, we find that in order to get to prescriptive analytics, firms need to build their way up through data ingress management with big data systems, successful data warehousing, and traditional business