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Innhold levert av Dustin Schimek. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av Dustin Schimek 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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Solving Practical Challenges with Machine Learning

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Manage episode 407340125 series 3559499
Innhold levert av Dustin Schimek. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av Dustin Schimek 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.

In this episode, Kristen Kehrer shares a machine learning project that solved a very practical problem faced by her household! She walks us through the background behind the project, and the approach she took to build it. This provides listeners with a unique opportunity to consider use-cases for machine learning, while also learning more about how they can produce these solutions themselves!

Kristen is the founder of Data Moves Me, hosts the Cool Data Projects Show and is Developer Advocate for CometML.

You can check out the links mentioned in the interview below:

Kristen's LinkedIn profile: https://www.linkedin.com/in/kristen-kehrer-datamovesme/

Data Moves Me website: https://datamovesme.com/

More on the main project discussed in the interview: https://datamovesme.com/2022/10/10/object-detection-using-yolov5-opencv-tutorial/

CometML's website: https://www.comet.com/

  continue reading

53 episoder

Artwork
iconDel
 
Manage episode 407340125 series 3559499
Innhold levert av Dustin Schimek. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av Dustin Schimek 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.

In this episode, Kristen Kehrer shares a machine learning project that solved a very practical problem faced by her household! She walks us through the background behind the project, and the approach she took to build it. This provides listeners with a unique opportunity to consider use-cases for machine learning, while also learning more about how they can produce these solutions themselves!

Kristen is the founder of Data Moves Me, hosts the Cool Data Projects Show and is Developer Advocate for CometML.

You can check out the links mentioned in the interview below:

Kristen's LinkedIn profile: https://www.linkedin.com/in/kristen-kehrer-datamovesme/

Data Moves Me website: https://datamovesme.com/

More on the main project discussed in the interview: https://datamovesme.com/2022/10/10/object-detection-using-yolov5-opencv-tutorial/

CometML's website: https://www.comet.com/

  continue reading

53 episoder

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