NJ SAS Users Group 2017 4th Quarter Meeting

The meeting was Tuesday, December 5th - 9:00am - 1:00pm

Dec2nd


The Chubb Corporation
202 Hall's Mill Rd, Building A
Whitehouse Station NJ 08889

At 1st Floor Training Rooms

For Directions Click Here

Agenda

Registration and Continental Breakfast will start at 9:00am, followed by four informative presentations. The meeting will be wrapped up around 1:00 pm.

Registration

1. If you are planning to be with us on Dec. 5th, click on the Register button above and pre-register.

2. Meetins is free for 2017 NJ SAS User Group members and Chubb employees.
Chubb employees need to show your employee ID at the door.

3. If you are not a member, a $20 donation to the New Jersey SAS Users Group will be asked of you at the door.

Four Payment Options:

  1. Pre-pay in advance with Pay Pal.
    Send payment to nj.sas.users.group@gmail.com. * PREFERRED *
  2. Pay cash at the door, with the registration form.
  3. Pay with a check at the door, check, payable to: "NJ SAS Users Group".
  4. We now accept credit cards.

Your support will help us to continue hosting informative meetings about SAS.

Our Speakers

Kate Schwarz, Senior Systems Engineer, SAS Customer Loyalty Team

Kate Schwarz Kate Schwarz is a senior systems engineer on the SAS customer loyalty team. Kate has supported, positioned, demonstrated, and proven SAS value for thousands of current and prospective customers since 2002. She is a technology generalist with over 20 years of experience in data management, business intelligence, and analytics.



Kevin Lee, Director of Data Science at Clindata Insight

Kevin_Lee Kevin has been supporting data-driven technology nearly 20 years and a very active data-driven solution architecture including CDISC standards data development, semantic data, metadata-driven programming, data analytics, Big Data and machine learning. He is also a current member of the data standards team at CDISC and the data visualization team at PhUSE.

Kevin has presented more than 60 papers at various conferences. He earned an M.S. in Applied Statistics at Villanova University following a B.S. from the University of Pennsylvania. Kevin is a lifetime learner who loves to learn and share.

Proposed Time Schedule

  • 9:00 - 9:20 am Welcome and Continental Breakfast, compliments of SAS
  • 9:20 - 10:10 am Introduction to SAS Enterprise Guide Kate Schwarz, SAS
  • 10:10 - 10:25 am Break
  • 10:25 - 11:00 am Machine Learning for SAS Programmers by Kevin Lee
  • 11:00 - 11:15 am Break
  • 11:15 - 11:45 pm Introduction to SAS Studio by Kate Schwarz, SAS
  • 11:45 - 11:55 am Break
  • 11:55 - 12:05 pm Random Access: Ask questions, make announcements, etc.
  • 12:05 - 12:55 pm Gaining Comfort with SAS Grid Computing by Kate Schwarz, SAS
  • 12:55 - 1:00 pm Wrap up and announcements, NJ SAS Users Group

 

Abstracts of Our Presentations

 

SAS® Enterprise Guide®: Getting Started

by Kate Schwarz

This session introduces SAS Enterprise Guide, a development application for SAS that you access via a Windows client interface. During this presentation, you will learn how to:

  1. Leverage your existing programming proficiencies
  2. Access, manipulate and analyze data
  3. Create reports, graphs, charts, and diverse analytics output formats
 

 

Machine Learning for SAS Programmers

by Kevin Lee

The most popular buzz word nowadays in technology world is “Machine Learning” (ML). ML is the computer science technology that provides systems with the ability to learn without being explicitly programmed. Most economists and business experts expect ML to automate and optimize many processes like self-driving vehicle, online recommendation in Netflix and Amazon, fraud detection in bank, image and video recognition and natural language processing.

The presentation is intended for SAS programmers who are interested in learning about ML and applying ML to lead an innovation in their organizations. The presentation will start with the introduction of Machine Learning, then it will discuss its basic concepts, applications, algorithms and types. The presentation will also introduce the most powerful machine learning algorithm – deep neural networks. The seminar will also introduce some of popular SAS ML procedures and packages, SAS Visual Data Mining and Machine Learning.

 

SAS® Studio: An Introduction

by Kate Schwarz

This session introduces SAS Studio, a development application for SAS that you access through your web browser. During this presentation, you’ll learn how it can help you:

  1. Interact with SAS from anywhere with a web browser
  2. Have easy access to all your SAS programs
  3. Connect to a SAS server when you run a program or task
 

 

Gaining Comfort with SAS® Grid Computing for Analysts and Data Scientists

by Kate Schwarz

This session introduces SAS Grid Computing, a server architecture for SAS that you harness via programming, SAS Studio, and other interfaces. During this presentation, you’ll learn how it can help you:

  1. Leverage your existing programming proficiencies
  2. Gain better analytics performance
  3. Assess and adjust your existing SAS content to exploit parallel processing, failover, and high availability