Cudahy Hall

SCTC

SCTC Annual Meeting:
The Journey from Machine Learning to Deep Learning

The Statistical Consulting and Training Center (SCTC) proudly presents

The 2018 Annual Meeting: The Journey from Machine Learning to Deep Learning – A Workshop with Hands-on Learning

 

Sponsored by:

  • Direct Supply
  • SCTC at Marquette University
  • ??Marshfield Clinic Research Institute??

When: Friday, April 6, 2016
Where: Marquette University, Emory T. Clark Hall Rm. 111

Parking: 16th Street Parking Structure (Google Map)

Agenda:
07:45-8:45 Check in, Networking, Verify setup for hands on
08:45-9:00 Welcome and Introduction
09:00-10:20 Introduction to Machine Learning by Dr. Tafti
10:20-10:40 Break
10:40-12:00 Introduction to Deep Learning by Dr. Tafti
12:00-13:00 Lunch Break
13:00-14:30 Hands on application on Recurrent Neural Network (RNN) by Dr. Nie
14:30-14:45 Break
14:45-16:15 Hands on application on Convolutional Neural Network (CNN) by Dr. Tafti
16:15-16:30 Break
16:30-18:00 Hands on application on Hybrid Methods by Dr. Saxena

Notes:

  • Space is limitted.
  • Breakfast and lunch wil be provided.
  • Hands-on instruction will be provided for attendes in advance.

Registration Information:

  • Students and Faculty members at Marquette University: Free
  • Students at other Universities: $29
  • Researchers and Faculty members at other Universities: $69
  • Scientists at Industry: $99

You can make reservations via PayPal <student.worker@mu.edu> or
send a check made out to the SCTC at Marquette University

Department of Mathematics, Statistics and Computer Science
Marquette University
P.O. Box 1881
Milwaukee WI 53201-1881
ATTN: Student Worker

 

 

Keynote Speakers:

Bio:

 

 

 

 

 

 

 

  • Xio Nie
    Data Scientist
    Direct Supply

Bio:

 

 

 

 

 

  • Piyush Saxena
    Data Scientist
    Direct Supply

Bio:



SITE MENU

 

Summer Research Experience

The Department of Mathematics, Statistics and Computer Science hosts a Summer Research Experience (REU) for Undergraduates. This program provides undergraduates with an intensive, faculty-mentored, summer research experience in the areas of applied mathematics, high-performance computing, statistics, ubiquitous systems and mathematics education. Learn more