8:30 – 9:00am

Check-in and Breakfast

9:15 – 9:45am

Introductions
Instructor: Natasha Balac

9:15 – 9:45am

Revisit Boot Camp 1 (Part 1: Topics)
Instructor: Natasha Balac

9:45 – 10:15am

Revisit Boot Camp 1 (Part 2: Tools): Weka and R Studio
Instructor: Nicole Wolter

10:15 – 10:30am

Break

10:30 – 11:30am

Technical Session 1- Overview: Foundations, Equations, Techniques, and Terminologies
Instructor: Paul Rodriguez

11:30 – 12:15pm

Technical Session 2- Artificial Neural Networks (ANNs)
Instructor: Natasha Balac

12:15 – 1:15pm

Lunch

1:15 – 2:00pm

Technical Session 3- Support Vector Machines (SVM)
Instructor: Natasha Balac

2:00 – 2:45pm

Technical Session 4- Ensemble Learning: Bagging, Boosting, Stacking 
Instructor: Nicole Wolter

2:45 – 3:15pm

Technical Session 5- Random Forest
Instructor: Paul Rodriguez

3:15 – 3:30pm

Break

3:30 – 5:00pm

Technical Session 6 (Hands-on): Comparing and Contrasting
Instructor:  Natasha Balac

8:30 – 9:00am

Check-in and Breakfast

9:00 – 10:00am

Technical Session 7- Overview of Text Mining
Instructor: Natasha Balac 

10:00 – 11:00am

Guest Speaker

11:00 – 11:15am

Break

11:15 – 12:15pm

Technical Session 8- Bayesian Networks
Instructor: Paul Rodriguez

12:15 – 1:15pm

Lunch

1:15 – 1:30pm

Technical Session 9- Data Mining Tools- Survey and Compatibilities
Instructor: Ken Nunes

1:30 – 3:00pm

Technical Session 10- Data Mining with Big Data: Tools and Techniques
Instructor: Paul Rodriguez

3:00 – 3:15pm

Break

3:15 – 4:30pm

Technical Session 11- Introduction to Networks and Graph Analytics
Instructor: Amarnath Gupta

4:30 – 5:00pm

Group Discussion & Closing