Organizations today have lots and lots of data. Typically when it comes to data analysis we have to know what our measures of success are before we design our BI. These are typically manifested by competency, or domain driven KPI's but what if those metrics don't actually measure success at all? In this talk we will be discussing how to leverage azure machine learning to answer questions in your organization about success and how to find the KPI's that really matter and drive results.
3. ABOUT CHASE Q. AUCOIN
Height: 6’10”
Last name pronounced: Oak-Wine
Current Position: Development Lead of Communications at
VinSolutions
Nearly a decade of data and software architecture experience
Let’s connect on LinkedIn
https://www.linkedin.com/in/chaseaucoin
4. WHAT I HOPE YOU GET OUT OF
THIS SESSION
What Is Machine Learning
How Can Predictive Analytics & Azure ML Add Value To My
Organization
What Is Azure ML, & Why Is It Different From Traditional ML Tools
Example Use Cases For Azure ML
How Do I Get Started With Azure ML and Machine Learning
Questions & Answers / Shameless Self Promotion
5. WHAT IS MACHINE LEARNING?
Machine learning explores the study and construction of algorithms
that can learn from and make predictions on data. Such algorithms
operate by building a model from example inputs in order to make
data-driven predictions or decisions, rather than following strictly
static program instructions.
Machine learning is closely related to and often overlaps with
computational statistics; a discipline that also specializes in
prediction-making. It has strong ties to mathematical optimization,
which delivers methods, theory and application domains to the field.
https://en.wikipedia.org/wiki/Machine_learning
14. ML|DATA MINING|DATA
SCIENCE|AI|BIG DATA
Statistics
Data Science
Predictive
Analytics
Machine
Learning
Data Mining
Big Data
Artificial
Intelligence
“The study and
design of
intelligent agents”
and the creation of
machines that learn
Massive volumes of
structured and
unstructured data.
39. SHAMELESS SELF PROMOTION
Education & Assitance: Coding Patterns/Practices, Building To Scale,
WCF, Cloud Patterns, API Management, Machine Learning, Azure
Administration, Deployment Automation:
Phone/Text: 816-209-0033
https://www.linkedin.com/in/chaseaucoin
chase@cupcakefactory.net
Cupcake Factory – Distributed services made easy. Ask about alpha
access!
http://cupcakefactory.net
40. REFERENCES
Greg R. Beaumont – Rise of the Machine (Learning)
https://www.youtube.com/watch?v=smfDb_L4WH8
Azure ML Pricing & Info
http://azure.microsoft.com/en-us/services/machine-learning/
Azure ML Studio
https://studio.azureml.net/
Azure ML Gallery
https://gallery.azureml.net/