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Solving Practical Challenges with Machine Learning
Manage episode 407340125 series 3559499
Kandungan disediakan oleh Dustin Schimek. Semua kandungan podcast termasuk episod, grafik dan perihalan podcast dimuat naik dan disediakan terus oleh Dustin Schimek 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.
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/
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