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ONSITE EDUCATION

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Decision Trees in Machine Learning: Building Explainable Models

Duration: One Day Course

Prerequisite: None

Decision trees provide powerful predictive insights. These data-driven insights inform which forces are shaping your organization’s outcomes. Once built, the models can produce key indicators to optimize the allocation of organizational resources.

New users of these established techniques are often impressed with how easy it is to develop decision trees since automated model-building software is widely available. However, proper data preparation is necessary to get optimal results.

This half-day session will dedicate half of its time on translating the business problem into a form that the algorithms can support and preparing data for optimal performance during modeling. The second half of the course focuses on different Decision Tree algorithms for classification and regression. Participants may consider “Predictive Modeling with Ensembles” as a natural follow-on to this session.

You Will Learn

  • Options for inserting machine learning into the decision making of your organization
  • How to use multiple models for value estimation and classification
  • How to properly prepare data for different kinds of supervised models
  • How data preparation must be automated in parallel with the model if deployment is to succeed
  • Compare model accuracy scores to model propensity scores that drive decisions at deployment

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

TESTIMONIALS

"The instructor was very responsive to input from the class and adapted to meet the needs specific to our context. I especially appreciated the many case studies and focus on assessment."

S. Bessias UNC Healthcare

"Very good overall view of DW concepts and provided valuable insight for such a varied audience."

Jerry Bundt Nestle Purina

"This was the best training class I’ve had in my 20 year career."

Tim Grieb Seattle Children’s Hospital

"The instructor did an excellent job and demonstrated an understanding of real world applications."

Sean Dewulf Con-way Freight

REQUEST INFORMATION

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