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Title & Speakers	Event
Cracking the Code: Machine Learning Made Understandable - Christoph Molnar 2023-11-26 · 23:42 Christoph Molnar – guest 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 AI/ML HTML	DataTalks.Club Listen
Cracking the Code: Machine Learning Made Understandable 2023-11-13 · 11:30 Interpretable ML - Christoph Molnar About the event Outline: Interpretable ML Writing about ML About the speaker: My name is Christoph Molnar, I’m a statistician and a machine learner. My goal is to make machine learning interpretable. DataTalks.Club is the place to talk about data. Join our slack community!	Cracking the Code: Machine Learning Made Understandable
Interpretability 2020-01-07 · 08:33 Kyle Polich – host , Christoph Molnar – guest Interpretability Machine learning has shown a rapid expansion into every sector and industry. With increasing reliance on models and increasing stakes for the decisions of models, questions of how models actually work are becoming increasingly important to ask. Welcome to Data Skeptic Interpretability. In this episode, Kyle interviews Christoph Molnar about his book Interpretable Machine Learning. Thanks to our sponsor, the Gartner Data & Analytics Summit going on in Grapevine, TX on March 23 – 26, 2020. Use discount code: dataskeptic. Music Our new theme song is #5 by Big D and the Kids Table. Incidental music by Tanuki Suit Riot. AI/ML Analytics	Data Skeptic Listen

Cracking the Code: Machine Learning Made Understandable - Christoph Molnar 2023-11-26 · 23:42

Christoph Molnar – guest

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

AI/ML HTML

DataTalks.Club

Listen

Cracking the Code: Machine Learning Made Understandable 2023-11-13 · 11:30

Interpretable ML - Christoph Molnar

About the event

Outline:

Interpretable ML
Writing about ML

About the speaker:

My name is Christoph Molnar, I’m a statistician and a machine learner. My goal is to make machine learning interpretable.

DataTalks.Club is the place to talk about data. Join our slack community!

Cracking the Code: Machine Learning Made Understandable

Interpretability 2020-01-07 · 08:33

Kyle Polich – host , Christoph Molnar – guest

Interpretability Machine learning has shown a rapid expansion into every sector and industry. With increasing reliance on models and increasing stakes for the decisions of models, questions of how models actually work are becoming increasingly important to ask. Welcome to Data Skeptic Interpretability. In this episode, Kyle interviews Christoph Molnar about his book Interpretable Machine Learning. Thanks to our sponsor, the Gartner Data & Analytics Summit going on in Grapevine, TX on March 23 – 26, 2020. Use discount code: dataskeptic. Music Our new theme song is #5 by Big D and the Kids Table. Incidental music by Tanuki Suit Riot.

AI/ML Analytics

Data Skeptic

Listen

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