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UID:pretalx-pyconde-pydata-2024-GVTJW8@pretalx.com
DTSTART;TZID=CET:20240422T134500
DTEND;TZID=CET:20240422T141500
DESCRIPTION:Getting a machine learning solution in front of users usually t
 akes some time. The data science tech stack is full of time traps and infr
 astructure issues might slow down deployment. The Azure Machine Learning p
 latform\, automated machine learning\, and Streamlit are predestined tools
  for circumventing common development and deployment issues – if you kno
 w how to use them. Based on our learnings in corporate hackathons\, we wil
 l use the stack to rapidly prototype a computer vision application users c
 an interact with. You will walk away with Python code snippets and inspira
 tion to build and user test your own machine learning ideas quickly.
DTSTAMP:20260311T003242Z
LOCATION:B09
SUMMARY:From idea to production in a day: Leveraging Azure ML and Streamlit
  to build and user test machine learning ideas quickly - Florian Roscheck
URL:https://pretalx.com/pyconde-pydata-2024/talk/GVTJW8/
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