Putting Machine Learning to Work
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    Putting Machine Learning to Work

    Translating Organisational Challenges into Supervised and Unsupervised Learning Solutions

      12 June 2019 (9.30-17.30h)
      Parker Hotel (Diegem)
      Price: 720 EUR (excl. 21% VAT)

      Presented in English by Keith McCormick


    Full Programme:
    8.30h - 9.30h
    Registration, coffee/tea and croissants
    9h30h
    Introduction to this course, the speaker and the participants
    1. Model Development Introduction
    • Current Trends in AI, Machine Learning and Predictive Analytics
    • Algorithms in the News: Deep Learning
    • The Modeling Software Landscape
    • The Rise of R and Python: The Impact on Modeling and Deployment
    • Do I Need to Know About Statistics to Build Predictive Models?
    2. Strategic and Tactical Considerations in Binary Classification
    • What's is an Algorithm?
    • Is a "Black Box" Algorithm an Option for Me?
    • Issues Unique to Classification Problems
      • Why Classification Projects are So Common
      • Why are there so many Algorithms?
    13h00
    Lunch Buffet
    14h00
    3. The Tasks of the Model Phase
    • Model Assessment
      • Evaluate Model Results: Check Plausibility and Reliability
      • Model Accuracy and Stability
    • Why Accuracy and Stability are Not Enough
    • What to Look for in Model Performance
    • What are Potential Deployment Challenges for Each Candidate Model?
    4. What is Unsupervised Learning?
    • Clustering
    • Why most organisations utilize unsupervised methods poorly:
      • Case Study 1: Finding a new opportunity
      • Case Studies 2, 3, and 4: How do supervised and unsupervised work together
    • Data Preparation for Unsupervised
      • The importance of standardization
      • Running an analysis directly on transactional data
    • Unsupervised Algorithms:
      • Hierarchical Clustering
      • K-means
      • Self-Organizing Maps
      • K Nearest Neighbors
    6. Wrap-up and Next Steps
    • Supplementary Materials and Resources
    • Conferences and Communities
    • Get Started on a Project!
    17h30
    End of this Course

    This course is a pre-conference workshop of the BI & Data Analytics Summit, a large conference in Belgium with 2 keynote speakers, 12 case-based presentations, and over 100 participants.

    WHO presents ???


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