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The Machine Learning Life Cycle

Tuesday, August 13, 2019 -
11:30am to 1:00pm
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In this presentation we will discuss the present state of machine learning and artificial intelligence and Bill will introduce DataRobot, the world most advanced automated machine learning platform. We will then build some models in DataRobot, evaluate them, and show how they can used in practical business applications.  A brief outline is as follows:

Learning Objectives:

  1. I. Basic Introduction to Machine Learning and AI
    II. Build Predictive Models
    II. Explore Predictive Models
    III. Evaluate Predictive Models
    IV. Use Predictive Models

Speaker Bio:
Bill Garvert is a Customer Facing Data Scientist at DataRobot based out of Dallas, Texas and covers the TOLA area (Texas, Oklahoma, Louisiana, and Arkansas).  He has practiced data science for the last 10 years in many different industries, including airlines, energy and healthcare.  He has a masters in statistics from George Mason University and a Bachelor's in economics from the University of Virginia. In his free time he enjoys learning about new technologies and cooking.

Link To Registration Page:

Event Details: 
There is a $7 fee at the door for those who are not OKC Chapter members and lunch will be provided!
Event Location: 
Francis Tuttle Technology Center - Rockwell Campus (Building D Room D1810A) | 12777 North Rockwell Avenue, Oklahoma City, OK 73142.
Bill Garvert
Location Name: 
Francis Tuttle Technology Center​ - Rockwell Campus
Event Directions: 
Building D is located on far North West side of campus! Enter Francis Tuttle via Rockwell and travel to end of campus road where you'll see building D on right side.
Event Type: 
BA Core Competency