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Innhold levert av Richard Campbell. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av Richard Campbell eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.player.fm/legal.
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The Hard Part of Machine Learning with Lynn Langit

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Manage episode 425672583 series 19264
Innhold levert av Richard Campbell. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av Richard Campbell eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.player.fm/legal.

What are the hard parts of machine learning? Richard chats with Lynn Langit about her work helping the Mayo Clinic improve patient outcomes using machine learning to understand patient data better. Lynn talks about the challenges of multi-modal data analytics - taking all the different data collected from a patient, like an X-ray or video, along with treatment notes, to create an overall picture of treatment and outcome. Then multiply that by thousands of patients, making a complicated data problem with huge challenges in testing and validation. How do you know that the machine learning model is correct? The key to practical machine learning is in the fundamentals - working on each step before you jump to the more complex goals!

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Recorded May 17, 2024

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972 episoder

Artwork
iconDel
 
Manage episode 425672583 series 19264
Innhold levert av Richard Campbell. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av Richard Campbell eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.player.fm/legal.

What are the hard parts of machine learning? Richard chats with Lynn Langit about her work helping the Mayo Clinic improve patient outcomes using machine learning to understand patient data better. Lynn talks about the challenges of multi-modal data analytics - taking all the different data collected from a patient, like an X-ray or video, along with treatment notes, to create an overall picture of treatment and outcome. Then multiply that by thousands of patients, making a complicated data problem with huge challenges in testing and validation. How do you know that the machine learning model is correct? The key to practical machine learning is in the fundamentals - working on each step before you jump to the more complex goals!

Links

Recorded May 17, 2024

  continue reading

972 episoder

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