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2020/01 - Applied Machine Learning Days, Workshop #157

Open bzz opened 5 years ago

bzz commented 5 years ago

URL: https://www.appliedmldays.org

Location: Lausanne, Switzerland (EPFL)

Dates: 2020/01/25-29

Expenses covered: ?

Topic: topic of the conference: ML, Go, etc

Call for Papers:

deadline: workshop CfP Friday 2019/09/13, 23:59 UTC (speakers CfP Opens in Sep) link: https://www.appliedmldays.org/call-workshops

notification: Friday September 27

Notes:

This issue is only about submitting an "ML on Code" workshop to the AMLD (half, full and 2 day workshop options are available).

It takes advantage of and reuse materials from #150 by @m09, @EgorBu and @bzz.

bzz commented 5 years ago

I'm planing to submit a half-day workshop, reusing materials from #150 and focusing it around code modeling aspect.

bzz commented 5 years ago

@m09 if you have some time - please feel free to help improving the initial proposal draft. After we finish with it, I'll be happy to submit a PR, following the usual process here.

bzz commented 5 years ago

The proposal from above has been submitted, we shall know the feedback by 27th of September 🤞

bzz commented 5 years ago

They are late on decision and we are still waiting for their feedback.

bzz commented 5 years ago

The workshop has been accepted 💃

We are pleased to inform you that your workshop has been accepted as part of the
Applied Machine Learning Days, held at the Swiss Tech Convention Center at EPFL
on January 25-29, 2020!

Will post the schedule link as soon as it's announced.

vcoisne commented 5 years ago

Awesome news @bzz I will add to calendar + newsletter when scheduled is published. Would you be open to speaking at a meetup in Geneva while you're there ? I can try to make that happen.

bzz commented 4 years ago

The schedule was announced https://appliedmldays.org/workshops/machine-learning-for-software-engineering-modelling-the-source-code 🚀

Would you be open to speaking at a meetup in Geneva while you're there?

Most probably yes, we figure out a way to do that interesting, base on GitHub.com/docker analysis - @m09 is about to run some experiments to validate that this week/early next week and get back to you with some questions.