Cracking the Code: Machine Learning Made Understandable - Christoph Molnar

DataTalks.Club

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/

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