Putting Machine Learning to Work

Putting Machine Learning to Work




12 June 2019 (9.30-17.30h)
Location: Parker Hotel (Diegem)
Presented in English by Keith McCormick
Price: 720 EUR (excl. 21% VAT)
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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
5. 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.

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