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analytics program enablement for growth-mindset organizations

APPLIED AI & MACHINE LEARNING

CORE CONCEPTS

A Foundation for Data-Driven Decisioning

Three-Hour Remote Preparatory Orientation
Prerequisite for All “The Predictive Analytics Operation” Courses
INFORMS Professional Development Units: 3

ACQUIRE THE BASICS AHEAD OF CLASS

This preparatory session establishes a baseline understanding of the introductory material required to hit the ground running in the highly interactive “Applied AI & Machine Learning” courseware. By viewing this initial lecture in advance of the live training session, participants will be prepared to proceed directly into the lecture / demo / work-along cycle format. In addition, those attending the Comprehensive course will not be exposed to the same introductory material at the start of each independent module within the series.

This presentation is an asynchronous lecture that may be viewed at your leisure. It is an independent prerequisite module and not representative of the delivery style of the interactive classroom or live online training. Core Concepts conveys a mind-shifting perspective for applied analytics and AI to those new to the practice, while preparing a platform for more coverage and momentum in the “Applied AI & Machine Learning” courseware.


WHO SHOULD PARTICIPATE

    • ALL “APPLIED AI & MACHINE LEARNING” COURSE REGISTRANTS to arrive with a general overview and solid baseline underfoot, ready to dive directly into the interactive work-along sessions of the classroom or online productions
    • TECHNOLOGY INVESTIGATORS who seek an efficient orientation to AI & machine learning to prioritize the practice among other organizational business intelligence objectives
    • THE ANALYTICALLY CURIOUS who desire additional perspectives on the topic

UPON COMPLETION, YOU WILL BE ABLE TO:

    • Start the mind shift from a traditional tactical emphasis to a strategic focus for AI and machine learning
    • Recognize primary strategic and tactical pitfalls that plague the majority of AI implementations
    • Outline and understand the four stages of the low-risk / high-impact Incremental Development Strategy
    • Identify and understand the Three-Step Project Design and the Four Core Analytic Project Types
    • Define basic performance metrics and behaviors of interest
    • Understand the basic factors in qualifying and prioritizing organizational analytic opportunities
    • Proceed efficiently into any course within “Applied AI & Machine Learning” course series with the required baseline knowledge

TOPIC COVERAGE

      INTRODUCTION

        • Welcome and Series Organization | Eric A. King | 1:47

      OVERVIEW

        • What is Predictive Analytics & Data Mining? | Keith McCormick | 15:00
        • An Established Process: CRISP-DM | Keith McCormick | 9:10
        • TMAs Modeling Practice Framework | Keith McCormick | 14:24
        • The Impact of Big Data on Analytics | Sandra Hendren | 8:53
        • Data Science and Data Scientists | Sandra Hendren | 9:39

      ASSESS PHASE

        • Assess Phase Introduction | Keith McCormick | 8:49
        • The Project Team, Roles and Themes | Keith McCormick | 16:49
        • Software Considerations | Keith McCormick | 12:18

      PREPARE PHASE*
      (*Required Only for Comprehensive Course)

        • The Interplay of Stats and Machine Learning | Patrick Rooney, PhD | 7:26
        • The Process and Effect of Normality | Patrick Rooney, PhD | 7:51
        • The Scale of Measure | Scott Terry | 12:25

      MODEL PHASE*
      (*Required Only for Comprehensive and Development Courses)

        • Three Major Modeling Types | Scott Terry | 12:22
        • Holdout Validation | Patrick Rooney | 3:55
        • Other Modeling Types | Patrick Rooney | 7:23

      DEPLOY PHASE*
      (*Required Only for Comprehensive and Development Courses)

        • Deploy Phase Introduction | Keith McCormick | 8:45

      MONITOR PHASE*
      (*Required Only for Comprehensive and Development Courses)

        • Monitor Phase Introduction | Keith McCormick | 9:11

      WRAP UP

        • You’re Ready for Training! | Eric A. King | 0:44

      Next Steps

The Modeling Agency, LLC, is registered with INFORMS (the INstitute For Operations Research and the Management Sciences) as a Recognized Analytics Continuing Educational Provider for the CAP® (Certified Analytics Professional) program. The CAP® credential provides analytics professionals with a means to distinguish themselves and demonstrate to employers, colleagues, and the public that they are knowledgeable analytics professionals. Courses provided by The Modeling Agency, LLC, are automatically accepted by INFORMS when claimed by credential holders as evidence of continuing education. For more information about the CAP® program, including requirements, eligibility, benefits, preparation, and exam dates, please visit the INFORMS website at www.informs.org/certification.

CoreConcepts

Predictive Analytics Webinar

Learn How to Get
Predictive Modeling Off
the Ground and Into Orbit

Next Event

Tuesday, August 14, 2018
11am EDT / 8am PDT
90-Minute Live Interactive Event

Why Train With TMA?

Determine whether TMA training is right for you, and learn why TMA is truly the best option for live classroom analytics training.

Attendee Comments

“The presentation from Tony Rathburn was without exaggeration the best I have heard from modelling practitioners in the 20 years I have been a data miner.”

Warwick Graco
Senior Director Operational Analytics
Australian Taxation Office

“Tony is a dynamic presenter with many years of relevant experience. I enjoyed his presentations, and his passion about transforming the way that people think about data mining and predictive analytics.”

Eric Vajentic
Senior Business Analyst
Cerner Corporation

“This class gives the Statistician a bunch of new tools to use in solving business problems. Once the limitations of statistics are reached, grab this data mining tool belt. You will be surprised how much further you can get.”

Raymond D. Mooring, PhD
Wage and Investment Research
Internal Revenue Service

“Upon taking TMA’s Predictive Analytics courses, I could immediately feel the difference since I struggled earlier with a similar online course offered by an established public university. There is no comparison between the dedicated, interactive instructor-led course and an online class. The added benefit is an end-to-end data mining process that insists on actionable results–those that are truly understood by leadership.”

Michael F.
Senior Analyst

“The instructor and course material are first rate. Any organization that believes data mining should be a part of their business operations portfolio would be making a wise investment by attending this course.”

Eric Rickard
Information Computing Sciences
SRI International

“The instructor was great and the instructor was very knowledgeable. It was just at the right level, not to general and not too technical.”

Doug Rosenberg
Technical Consultant
Convergys