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Author: ngerakines.me (did:plc:cbkjy5n7bk3ax2wplmtjofq2)

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uri:
"at://did:plc:cbkjy5n7bk3ax2wplmtjofq2/events.smokesignal.calendar.event/3kygvzvcnm22t"
cid:
"bafyreihjfhwcziuuif3z3ffg33qmigcjxbycacsthc5oufp4pqgxq7ge54"
value:
mode:
"events.smokesignal.calendar.event#virtual"
name:
"Machine learning belongs in a museum!"
text:
"Ever walked around a museum and wondered how they keep those nice chilly temperatures around the building? No? Me neither! That is until I had to figure out how to build a machine learning model to do just that.

This talk is the story of the challenges we found when dealing with environments that are constantly changing, the key role that stakeholders played in the project and the tools and processes that we used to achieve the projects goals. We will also discuss some bumps on the road and what we learned from them.

By the end of this talk, you will be able to apply the concepts and tools reviewed to tackle machine learning projects in your organization.

Who is our speaker?

Samuel Gomez has worked in software development for 15+ years (mostly Microsoft technologies) and loves the problem solving aspect of the work. In recent years he has become very passionate about AI and machine learning technologies and how they can be applied to different aspects of our lives. When not coding, Samuel enjoys spending time with his family, soccer (watching, playing, and coaching), playing videogames and watching movies.

Where to meet

The Innovation Hub, 31 S Main St, Dayton, OH 45402

We will be meeting on the 2nd floor of the Innovation Hub, in The Square. When you enter The Hub, take the stairs (or the elevator) one floor up. You will find yourself in the community kitchen/dining area, The Square is just on the other side of the kitchen/dining area.

Originally posted at https://www.meetup.com/gem-city-tech/events/301348830/ by Gem City Tech"
$type:
"events.smokesignal.calendar.event"
endsAt:
"2024-08-08T00:00:00.000Z"
status:
"events.smokesignal.calendar.event#scheduled"
startsAt:
"2024-08-07T22:00:00.000Z"
createdAt:
"2024-07-29T18:26:25.318Z"