[Baypiggies] BAyPIGgies Meeting: REMINDER We're in a NEW location
glen at glenjarvis.com
Thu Oct 27 19:28:57 EDT 2016
Attendance prediction is between 39 and 96 people. The new RSVP update is
So, using our past history as a measure, I came up with the above
Or, with this unusual situation we may have a higher or lower than normal
Attendance / RSVP ratio. It's really hard to say.
My gut tells me it'll be lower and there will be way plenty of chairs. But,
my gut has been wrong before :)
Regardless, we aren't turning anyone way.... We just may have a shortage
Thanks for your patience and generosity everyone!
On Wed, Oct 26, 2016 at 8:56 PM, Glen Jarvis <glen at glenjarvis.com> wrote:
> REMINDER: We are no longer in the place that we have been Meeting the past
> few years!! I would feel bad if you went to the old location by mistake.
> Also, we have LIMITED SEATING this Thursday night.
> There are only 60 chairs this meeting. We only found this out the past few
> days. I have reached out to the people who RSVPd already (
> https://www.meetup.com/BAyPIGgies/events/228274916/) and asked everyone
> to update their RSVP if they weren't going.
> There were some awesome people who updated their RSVPs so that we can
> better plan. I get the feeling that a few people who wanted to come were
> being generous and updated their RSVP to "No" to make room for others.
> [That's so generous. But, I really only wanted people to keep their RSVP
> accurate, not discourage our thoughtful members from coming].
> So, here is what I know:
> * We have 186 people who RSVPd yes
> * Our ratio of RSVP and attendance has been:
> Date | RSVP | Attendance | Ratio
> Jan 28 | 298 | 105 | 35 %
> Feb 25 | 308 | 140 | 45 %
> Mar 24 | 181 | 60 | 33 %
> Apr 28 | 187 | 110 | 59 %
> May 26 | 136 | 35 | 26 %
> Jun 23 | 260 | 115 | 44 %
> Jul 21 | 217 | 85 | 39 %
> Aug 25 | 374 | 140 | 37 %
> Sep 22 | 230 | 150 | 65 %
> So, our maximum (with lots of RSVP chasing and a wait list) was 65%. Our
> minimum (with I think a traffic Jam and concert problems) was 26%. Median
> was 39%.
> So, with 186 RSVPs, we should have between 48 and 120 attendees. I think
> it will be much closer (or below) our median because of our new space and
> because our good RSVP'ers have yielded their spot.
> I believe that we will have just enough chairs for this RSVP list. But,
> it's hard to predict [And, *this* is why we like everyone to keep their
> RSVP up to date ;)]
> With that said, I wouldn't be surprised if there were unfilled seats. We
> will NOT TURN ANYONE AWAY (unless we get above 200 (fire code) and have to).
> So, if you don't mind standing or sitting on the floor, feel free. You may
> even be able to get a seat.
> PRIORITY SEATING will be given to those who RSVPd Yes.
> That's as transparent as I can possibly be -- and all that I know about
> seating. I will stand and give my seat to another.
> RSVP LINK
> We will be at 580 North Mary Avenue (THIS MEETING ONLY). I will do my best
> to help people get to the location. Feel free to email or call (I can send
> you my number) if you get lost or stuck. Also, post on the messages here (
> https://www.meetup.com/BAyPIGgies/events/228274916/) and the community
> will be watching to help you.
> Here is an awesome map:
> VIDEO RECORDING
> We normally get our meetings recorded by LinkedIn. If we can't get our
> normal recording, we can do a screencast and audio recording. We'll do our
> best to capture this for you.
> You awesome volunteers that have been helping since January of this year.
> We may have more cat herding than normal, so I could always use the
> assistance. Find me at the meeting if you can help.
> AUTHOR'S ABSTRACT
> Ever want to know what is behind the "Internet of Things" hype? Back in
> February, I wanted to as well, so I embarked on a side project to learn
> more. This talk is the story of my journey, using, of course, my favorite
> programming language, Python.
> In this talk, I will take you through my project, a lighting replay
> system. I captured light sensor data (using Micropython and the ESP8266) in
> three rooms of my house. I then analyzed the data using Jupyter notebooks,
> Numpy, Pandas, and Scikit-learn. My goal was to replay realistic light
> usage when my family and I are out of town. After exploring several machine
> learning approaches, I settled on Hidden Markov Models (using Hmmlearn). I
> now have a simple application that runs on my Raspberry Pi and controls
> Phillips Hue lights based on the learned model. Along the way, I played
> around with hardware for the first time since college and co-developed an
> open source data filtering framework, called AntEvents (joint work with
> Rupak Majumdar of the Max Planck Institute for Software Systems).
> Jeff Fischer has held developer, management, and research roles in small
> and large companies. He currently is consulting for a commercial research
> laboratory, advising them on how to spin-off a healthcare IoT project.
> Previously, he was co-founder and VP of Engineering at Quaddra Software, a
> file analytics startup. He has a PhD in Computer Science from UCLA, focused
> on programming languages and software verification. His current technical
> interests include IoT analytics, distributed systems, and programming
> Jeff first came across Python in the last century, and liked it much
> better than the alternative he was using at the time (which seemed to
> resemble modem line noise). He has tried to work Python into his projects
> ever since. He is the co-organizer of BayPiggies and looks forward to the
> great talks and the enthusiastic audience at our monthly meetings.
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