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VIRTUAL TEAM TRAINING

Your Team,
Our Instructors
Anywhere, Anytime

Predictive Modeling with Ensembles: Advanced Techniques for Deeper Insights

Duration: One Day Course

Prerequisite: None

Course Outline

Ensembling is one of the hot techniques in contemporary predictive modeling competitions. Every single recent winner of competitions on Kaggle.com and in the annual KDD competitions used an ensemble technique, including famous algorithms like XGBoost or the Super Learner.

Are these competition victories paving the way for widespread organizational implementation of these techniques? This course will overview these techniques, their origin, and show why they are so effective.

We will draw inspiration from these techniques while exploring a practical approach to ensembling that is effective for most organizational problems and within reach for analytic practitioners.

What You Will Learn

  • What are ensemble models and what are their advantages?
  • Why are ensembles in the news?
  • Three influential ensembling approaches and three famous algorithms
  • The core elements of ensembles and their application – bagging, boosting, and stacking
  • How to apply “meta-modeling” to real-world problems
  • The pros and cons of complex "black box" techniques in solving business problems
  • The challenge of applying competition strategies to organizational problems
  • Case Study: Using an ensemble to address systematically missing data

Geared To

  • Analytic Practitioners; Data Scientists; IT Professionals; Technology Planners; Consultants; Business Analysts; Analytic Project Leaders

Contact Us to Get Started Today

REQUEST INFORMATION

Yvonne Baho

Yvonne M. Baho Director, Enterprise Learning
Phone: 978.582.7105
Email: ybaho@tdwi.org

TDWI Course Catalog

Download Our
Course Catalog

Download Now

REQUEST INFORMATION

Yvonne Baho Yvonne M. Baho
Director, Enterprise Learning
Phone: 978.582.7105
E-mail: ybaho@tdwi.org
TDWI Course Catalog Download

Download Our Course Catalog

Download Now

Contact Us to Get Started Today