Cudahy Hall


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


"Deep Learning" is an advanced computational learning strategy concerned with techniques and methodologies inspired by the function of the human brain. Deep Learning is a type of neural network who’s use has taken off over the past few years. Many scientific and industrial disciplines now use the approach to discover hidden patterns and facts from massive and diverse data sources. Deep Learning shows promise in a wide variety of applications ranging from object tagging and speech recognition to disease diagnosis and treatment.

This workshop presents Deep Learning from a computational perspective. We describe currently available state-of-the-art Deep Learning components, explore Deep Learning strategies (both what they do and how they work), and present real world Deep Learning examples from within development environments.

Sponsored by:

  • Direct Supply
  • SCTC at Marquette University
  • Marshfield Clinic Health System

When: Friday, April 13, 2018
Where: Marquette University, Emory T. Clark Hall Rm. 111

Parking: Available for fee in 16th Street Parking Structure (Google Map)

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
13:00-13:45 Deep Learning Library Review by Dr. Tafti
13:45-14:00 Break
14:00-15:15 Hands on application on Convolutional Neural Network (CNN) by Dr. Tafti
15:15-15:30 Break
15:30-16:30 Hands on application on Recurrent Neural Network (RNN) by Dr. Saxena
16:30-17:00 Time Embedded Delay Model by Dr. Saxena
17:00-17:30 Closing


  • Breakfast and lunch provided for Registered Attendees Only.
  • Limited seats available.
  • Advanced Registration is required.
  • Hands-on instruction will be provided for attendes in advance.

Registration Information:

Keynote Speakers:

Bio: Ahmad P. Tafti is a Tenure-Track Associate Research Scientist at Marshfield Clinic Research Institute, with a deep passion for improving health informatics using diverse medical data sources plus advanced computational methods. Dr. Tafti earned his Ph.D. in the field of Computer Science from the University of Wisconsin-Milwaukee and since then, he has been on a quest to explore and solve health informatics problems that make the most positive impact on people’s lives. In conjunction with his affiliation at Marshfield Clinic Research Institute, Ahmad is a faculty member in Computation and Informatics in Biology and Medicine at the University of Wisconsin-Madison. Ahmad's major interests are computational vision, machine learning, and computational health informatics.


  • Piyush Saxena
    Data Scientist
    Direct Supply

Bio: Piyush Saxena is a recent Ph. D graduate from the Department of Mathematics, Statistics and Computer Science at Marquette University. He received his undergraduate and graduate degrees in Structural engineering from Marquette (2011-2013) University. He has spent the past two years working with the Autism clinic at Marquette University to integrate computational tools with current interventions. Piyush currently works as a data scientist at Direct Supply. His research interests include Statistical Modelling, Machine Learning, Data Mining, Natural Language Processing, Computer Vision, and Deep Learning.   



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