This three-day seminar walks attendees through a comprehensive implementation framework for value-focused analytics. Participants will be exposed to both strategic and tactical elements of predictive modeling with a view on the unique dynamics inherent in larger organizations.
The first day provides a forest-view of goal-driven analytics for growth-minded organizations. Beyond introducing the common machine-learning methods leveraged in predictive analytics, participants will understand why assessing and planning for issues like organizational transformation, analytic team construct and valid opportunity identification are essential for successful project deployment and adoption.
Days two and three dive under the hood to explore the two main types of machine learning engines: supervised and unsupervised. Each day focuses on how to prepare data, select machine learning algorithms and deploy models specifically for each unique approach and class of analytic problems. Most importantly, the instructor will explore how to transform and explain the findings from each model type into measurable actions.