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Cracking the Code: Machine Learning Made Understandable - Christoph Molnar

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Manage episode 385574288 series 2831626
Content provided by DataTalks.Club. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by DataTalks.Club or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

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:

Free ML Engineering course: http://mlzoomcamp.com Join DataTalks.Club: https://datatalks.club/slack.html Our events: https://datatalks.club/events.html

  continue reading

183 episodes

Artwork
iconShare
 
Manage episode 385574288 series 2831626
Content provided by DataTalks.Club. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by DataTalks.Club or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

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:

Free ML Engineering course: http://mlzoomcamp.com Join DataTalks.Club: https://datatalks.club/slack.html Our events: https://datatalks.club/events.html

  continue reading

183 episodes

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