Name: Running Image Recognition Machine Learning via RaspberryPi
Start: 2021-10-20T16:00:00-05:00
End: 2021-10-20T17:30:00-05:00

Join us for an introduction to RaspberryPi and machine learning. We'll walk through basic set up, talk through capabilities of the microcomputer, and provide time for questions. The session will focus mainly on using RaspberryPi's as a vessel for machine learning and will utilize an image recognition use case for refilling snack stations at the office (low risk, high reward). No experience needed, enthusiasm is highly encouraged.

Kirsten Hoogenakker is a data consultant at DataDrive in St. Louis Park with 7 years of experience teaching robotics and engineering. She has transitioned from building autonomous robots into rocking data science models. She is enthusiastic about making tough topics accessible and focuses on human centered data in her daily work.

LinkedIn: https://www.linkedin.com/in/kirsten-hoogenakker/

*Note: We are looking for volunteers to speak at future events. Any ideas, big or small, are welcome! Or if you want to nominate someone, inside or outside of this group, or suggest a topic, feel free to that too! Message us (Kim Ky and Fiona Lodge) or email us (kykimeng@gmail.com).

Kim Ky

Fiona Lodge

Kirsten Hoogenakker

Minneapolis Women in Machine Learning & Data Science

Technology

Artificial Intelligence

Open Source

Big Data

Machine Learning

Data Analytics

Data Visualization

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Deep Learning

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Running Image Recognition Machine Learning via RaspberryPi

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Minneapolis Women in Machine Learning & Data Science

Running Image Recognition Machine Learning via RaspberryPi

Minneapolis Women in Machine Learning & Data Science

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