RESEARCH & RESOURCES

Supervised Machine Learning: Still the most important Machine Learning technique & When to transition from Unsupervised to Supervised Learning

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ATTENTION ALL BI/DW AND ANALYTICS PROFESSIONALS
Dear TDWI Carolinas BI/DW and Analytics Professionals,
We cordially invite you to attend our upcoming TDWI Carolinas Chapter meeting on Friday August 17, 2018 to exchange career advice while listening to quality presentations in a vendor-neutral setting, which is the hallmark of TDWI education. Please see our detailed meeting agenda below.

When:

Friday August 17, 8:30 AM – 12:00 PM

Where:

A Metlife - Grace Hopper auditorium in Met1

 Met1: 101 MetLife Way, Cary, NC, 27513
GPS: If your device does not recognize the address, key in:
9000 Weston Parkway, Cary, NC 27513
From points East (Raleigh & surrounding areas) : Take I-40 West towards Durham to exit 287 for Harrison Avenue. Turn left onto Harrison, travel 0.5 miles, and turn right onto Weston Parkway. The entrance will be on your right in 1.7 miles.
From points West (RDU Airport/Durham & surrounding areas) : Take I-40 East towards Raleigh to exit 285 for Aviation Parkway. Turn right onto Aviation, travel 1.4 miles, and turn left onto Evans Road. Travel 0.7 miles and turn left onto Weston Parkway. The entrance will be on your left in 0.4 miles.

Topic:

 

Supervised Machine Learning: Still the most important Machine Learning technique with Keith McCormick
Regression, decision trees, neural networks – along with many other supervised learning techniques - provide powerful predictive insights. New users of these established techniques are often impressed with how easy it all seems to be since automated model-building software is widely available. However, proper data preparation and human input is still necessary to get optimal results. 

We will dedicate about half of the time on practicing translating the business problem into a form the algorithms can assist with and about half learning why preparing the data for optimal performance during modeling is still largely a human activity. If your organization is fairly new to predictive analytics it is unlikely that any other technique deserves more attention than getting well versed in the basics of Supervised Machine Learning. 

You Will Learn

  • When to apply supervised modeling methods
  • Options for inserting machine learning into the decision making of your organization
  • How to properly prepare data for different kinds of supervised models
  • Explore the pros and cons of “black box” models including ensembles

From Unsupervised to Supervised learning with Srihari Nagarajan

Companies use anomaly detection techniques to identify and mitigate fraud.  Effective use of machine learning techniques could help save millions of dollars.  At the same time, there is a cost involved in having investigators analyze each and every case to hand-classify them as fraud or not.  Semi-supervised learning could pave way to reduce this cost greatly by minimizing human efforts.  Once we believe that we have captured most of the fraud patterns in the data, we could use supervised learning techniques to easily identify fraud. 

You will learn

When to apply anomaly detection techniques
How to transition to semi-supervised/supervised learning

 

DON'T MISS THIS EVENT! Please RSVP below
Click here to register for the next upcoming event

Agenda:

8:30 AM – 9:00 AM

Networking and Registration

9:00 AM – 9:10 AM

Introductions and Chapter Business

9:10 AM – 10:40 AM

Keith McCormick (Senior Consultant and Trainer @ The Modeling Agency): Supervised Machine Learning: Still the most important Machine Learning technique

10:40 AM – 10:55 AM

Break

10:55 AM – 11:15 AM

Srihari Nagarajan (Senior Data Scientist @ Metlife) : From Unsupervised to Supervised learning

11:15 AM – 11:50 AM

Panel Discussion

11:50 AM – 12:00 PM

Wrap-up

DON'T MISS THIS EVENT! Please RSVP below
Click here to register for the next upcoming event

 

Space is limited so sign up early!

To become a member at a 10% discount, please click here and use priority code <each one is chapter specific>. For more information about TDWI Membership, contact chapters@tdwi.org.
To contact a Chapter officer, click on name of the officer located on the top right hand column of this page.

Bios of Presenters

Keith McCormick
Senior Consultant and Trainer @ The Modeling Agency

Keith has leveraged statistical and machine learning software since the early 1990s along with deep expertise using popular commercial and open source solutions involving structured data, text, and big data analytics. As a senior consultant with The Modeling Agency, LLC, McCormick guides organizations to establish highly effective analytical practices across industries, to include public sector, media, marketing, healthcare, retrial, finance, manufacturing, and higher education. He is a highly accomplished professional mentor and trainer, having served as keynote speaker and moderator at international conferences focused on practitioners and leadership alike. He possesses a unique blend of tactical and strategic skills along with the business acumen to ensure superior project design, oversight, and outcomes that align with organizational targets.

 

Keith McCormick
about.me/keithmccormick

http://d13pix9kaak6wt.cloudfront.net/signature/colorbar.png

 

 

amazon.com/author/keithmccormick

Srihari Nagarajan
Senior Data Scientist @ Metlife

Srihari Nagarajan is a Senior Data Scientist in the Metlife Data and Analytics group.  His work primarily focuses on leveraging machine learning techniques for uncovering hidden insights for different businesses within Metlife.  Prior to this he worked at SAS for 5 years as an Analytical Consultant in the Professional Services Division.  He earned his Masters degree in Management Information Systems from Oklahoma State University, prior to which he worked in India as a software developer for Asia’s biggest IT consulting provider.

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SAVE THE DATE – Friday October 26, 2018
 Topic: Ethical AI Framework with Neil Raden

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