DataTalks.Club

Cracking the Code: Machine Learning Made Understandable - Christoph Molnar

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We talked about:

  • Christoph’s background
  • Kaggle and other competitions
  • How Christoph became interested in interpretable machine learning
  • Interpretability vs Accuracy
  • Christoph’s current competition engagement
  • How Christoph chooses topics for books
  • Why Christoph started the writing journey with a book
  • Self-publishing vs via a publisher
  • Christoph’s other books
  • What is conformal prediction?
  • Christoph’s book on SHAP
  • Explainable AI vs Interpretable AI
  • Working alone vs with other people
  • Christoph’s other engagements and how to stay hands-on
  • Keeping a logbook
  • Does one have to be an expert on the topic to write a book about it?
  • Writing in the open and other feedback gathering methods
  • Advice for those who want to be technical writers
  • Self-publishing tools
  • Finding Christoph online


    • Links:

    • LinkedIn: https://www.linkedin.com/in/christoph-molnar/
    • Website: https://christophmolnar.com/


      • Free ML Engineering course: http://mlzoomcamp.com
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