0b15a1aa33
- Create event for PyDataVE #24 - Machine Learning edition on December 18, 2025 - Create event for PyVenice #3 - Flask & DjangoNinja on February 19, 2026 - Create event for AWS User Group Venezia #14 - FullStack e CloudComputing on March 26, 2026 - Create event for PyVenice #4 - n8n workshop on April 16, 2026
25 lines
1.8 KiB
Markdown
25 lines
1.8 KiB
Markdown
---
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title: 'PyDataVE #24 - #MachineLearning edition'
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date: 1926-03-10T17:57:23
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start: 2025-12-18 19:00:00+01:00
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end: 2025-12-18 21:00:00+01:00
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location: Anda Venice Hostel, Venice, it
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group:
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- PyData Venice
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tags: []
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event_url: https://www.meetup.com/pydata-venice/events/310565375/
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how_to_find_us: None
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---
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Dear all, we’re back with the [PyData meetups](https://numfocus.org/programs/pydata), focused as always on sharing best practice, methodologies, analysis, machine learning systems, .., with the open-source projects of the [NumFOCUS](https://numfocus.org/sponsored-projects) program — but not only!
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We’ll meet **#InPresence** on **Thursday, December 18 at 7:00 PM**.
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We’ll be hosted by [Anda Venice Hostel](https://www.andavenice.com/) in the Medusa Room and, for those who cannot join us, it will also be on [YouTube](https://www.youtube.com/watch?v=oK_1RjKro_g) in **#streaming**.
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👥 We’ll have two interesting sessions in English 🇬🇧:
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🗣 [Árpád Goretity](https://www.linkedin.com/in/h2co3/) and [Oliver Kocsis](https://www.linkedin.com/in/okocsis/) will talk to us about **#NLP** solutions and their optimizations in a local environment: **#OnPremise** is the New Promise – Small, Smart, **#LocalAI** in the age of LLMs
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🗣 [Sara Ferro](https://www.linkedin.com/in/sara-ferro-ba1aa8139/) will present a blend of theory on classical networks and more recent ones together with more recent ones: **#ImageSegmentation** through **#DeepLearning** Models
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And afterwards\, for those who want\, we’ll stay there for \( 🍸 \| 🍺 \) & \( 🍕 \| 🍔 \) and **#networking** until late ‼️
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📽 And if you’d like to share ideas, projects, topics, or propose yourself as the next speaker, here’s the usual [Google form](https://forms.gle/rVMWxFnodHaNb9ab9) or [Sessionize](https://sessionize.com/pydata-venice/) !
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