YOU ARE INVITED TO ATTEND:
Predictive Analytics Customer Workshop
Predictive Analytics Customer Workshop
Join us for an exciting, two-day learning event on predictive analytics using Microsoft Azure.
WHO SHOULD ATTEND
Data Scientists, Developers & Programmers, Architects, and Analysts
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:
April 28 & 29, 2015
8:30AM – 5:30PM
2000 Avenue McGill College
Suite 550
Suite 550
Montreal
AGENDA
The workshop will include information and hands-on lab sessions covering Predictive Analytics scenarios with Big and real-time data and Machine Learning.
Day 1: Tuesday, April 28, 2015
Time | Activity |
8:30 AM | Registration |
9:00 AM | Introduction to Big Data, Predictive Analytics, and Data Science |
10:30 AM | Break |
10:45 AM | Introduction to HDInsight |
12:00 PM | Lunch |
1:00 PM | Big Data. Query, Processing, and Transforming Big Data |
3:00 PM | Break |
3:15 PM | Azure ML Fundamentals |
Day 2: Wednesday, April 29, 2015
Time | Activity |
8:30 AM | Registration |
9:00 AM | Building a Classification Model in Azure ML |
10:30 AM | Break |
10:45 AM | Using R in Azure ML |
12:00 PM | Lunch |
1:00 PM | Metrics and Methods of Classifier Evaluation in Azure ML |
2:30 PM | Deploying a Model as a Web Service |
3:30 PM | Break |
3:45 PM | Group Exercise |
PRE-REQUISITES
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.
COST
There is no fee for attending this event. Participants are responsible for covering their own travel expenses.
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.
COST
There is no fee for attending this event. Participants are responsible for covering their own travel expenses.
YOU ARE INVITED TO ATTEND: Predictive Analytics Customer Workshop Join us for an exciting, two-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. AGENDA The workshop will include information and hands-on lab sessions covering Predictive Analytics scenarios with Big and real-time data and Machine Learning. Day 1: Tuesday, April 28, 2015
Day 2: Wednesday, April 29, 2015
PRE-REQUISITES 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. COST There is no fee for attending this event. Participants are responsible for covering their own travel expenses. ABOUT THE INSTRUCTOR:  Dr. Bill Meade is a world-renowned data modeler, and an expert in the field of demand forecasting and marketing mix modeling. He has architected the algorithms behind Neal’s SmartStock solution, and is regularly called upon for his expertise in pricing and promotions, demand forecasting, econometrics, and marketing. As a former analytical marketing professor, he is extremely well equipped to teach and to model all aspects of the channels companies use to generate their revenue. 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 intelligence. Once these foundational aspects are addressed, we can help with predictive and prescriptive analytics, and achieve high-order ROI. | LOCATIONS AND DATES: April 28 & 29, 2015 8:30AM – 5:30PM 2000 Avenue McGill College Suite 550 Montreal LEARN MORE STAY UPDATED |