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Cracking the Code: Machine Learning Made Understandable - Christoph Molnar
Manage episode 385574288 series 2831626
Kandungan disediakan oleh DataTalks.Club. Semua kandungan podcast termasuk episod, grafik dan perihalan podcast dimuat naik dan disediakan terus oleh DataTalks.Club atau rakan kongsi platform podcast mereka. Jika anda percaya seseorang menggunakan karya berhak cipta anda tanpa kebenaran anda, anda boleh mengikuti proses yang digariskan di sini https://ms.player.fm/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:
- LinkedIn: https://www.linkedin.com/in/christoph-molnar/
- Website: https://christophmolnar.com/
Free ML Engineering course: http://mlzoomcamp.com Join DataTalks.Club: https://datatalks.club/slack.html Our events: https://datatalks.club/events.html
181 episod
Manage episode 385574288 series 2831626
Kandungan disediakan oleh DataTalks.Club. Semua kandungan podcast termasuk episod, grafik dan perihalan podcast dimuat naik dan disediakan terus oleh DataTalks.Club atau rakan kongsi platform podcast mereka. Jika anda percaya seseorang menggunakan karya berhak cipta anda tanpa kebenaran anda, anda boleh mengikuti proses yang digariskan di sini https://ms.player.fm/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:
- LinkedIn: https://www.linkedin.com/in/christoph-molnar/
- Website: https://christophmolnar.com/
Free ML Engineering course: http://mlzoomcamp.com Join DataTalks.Club: https://datatalks.club/slack.html Our events: https://datatalks.club/events.html
181 episod
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