Data Science applications for Analytics using Machine Learning Technologies and statistical reasoning

1. Data Science for (Telco)
business decisions
My
blog:
http://www.scoop.it/t/big-­‐data-­‐analytics-­‐in-­‐telecom

2. Agenda
* Use
Cases
* Intro
to
Analytics
* Methods
and
Technology
* Training
Erik Brynjolfsson, Professor of Management Science at MIT Sloan School of
Management

3. Who uses analytics?

4. Telco analytics

5. Business rules under
uncertainty

6. Internet of things analytics

7. Agenda
* Use
Cases
* Intro
to
Analytics
* Methods
and
Technology
* Training

8. A story of analytics

9. Analytics overview
( AKA “buzzword bingo”)

10. Agenda
* Use
Cases
* Intro
to
Analytics
* Analytics
Tools
and
Technology
* Training

11. The most important slide
IT
Schema
Input
Statistics
Stochastic
Process
Statistic
s/
“The issue at hand”
AI
Output
Machine
Learning
Algorithmic
Schema
Stochastic
Algorithmic
Responsiveness
of model
Loosely Based on: Statistical Modeling: The Two Cultures, Leo Breiman

12. Not your fathers linear
regression

13. Tools are not enough
https://en.wikipedia.org/wiki/
Receiver_operating_characteristic

14. Agenda
* Use
Cases
* Intro
to
Analytics
* Methods
and
Technology
* Training
* (Systems
tech)

15. So you want to be a Data
Scientist?

17. So in summary…
Applications
Technologies