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Kandungan disediakan oleh Galvanize and Office Hours. Semua kandungan podcast termasuk episod, grafik dan perihalan podcast dimuat naik dan disediakan terus oleh Galvanize and Office Hours 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.
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Episode 2: How to use supervised Machine Learning to predict fraud

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Manage episode 261770667 series 2393700
Kandungan disediakan oleh Galvanize and Office Hours. Semua kandungan podcast termasuk episod, grafik dan perihalan podcast dimuat naik dan disediakan terus oleh Galvanize and Office Hours 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.

You don’t have to be a data scientist to create powerful machine learning models! This week on Office Hours, Dan is joined by Kevin Leger, co-founder of Office Hours and Director of Product Design at Galvanize. They talk machine learning—from a real-world example of busting fraud to the confusion matrix (which is actually quite simple to understand). You'll also learn how to start using machine learning to find and predict instances of fraud in your organization.

  continue reading

9 episod

Artwork
iconKongsi
 
Manage episode 261770667 series 2393700
Kandungan disediakan oleh Galvanize and Office Hours. Semua kandungan podcast termasuk episod, grafik dan perihalan podcast dimuat naik dan disediakan terus oleh Galvanize and Office Hours 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.

You don’t have to be a data scientist to create powerful machine learning models! This week on Office Hours, Dan is joined by Kevin Leger, co-founder of Office Hours and Director of Product Design at Galvanize. They talk machine learning—from a real-world example of busting fraud to the confusion matrix (which is actually quite simple to understand). You'll also learn how to start using machine learning to find and predict instances of fraud in your organization.

  continue reading

9 episod

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