Data Umbrella

 
 
 

To join the event, please do the following:

1. Read through the WEBSITE: https://pymc-data-umbrella.xyz/en/latest/

2. Complete this sign-up FORM. It will take 5-10 minutes to complete. You must complete this form to receive event updates:
https://tinyurl.com/du-pymc-os-ws

3. You can add the events to your personal CALENDAR: https://pymc-data-umbrella.xyz/en/latest/2022-07_sprint/schedule.html#schedule

4. Join Data Umbrella Discord: https://discord.gg/cvNEkpC4Fx

-----------------------------
About
-----------------------------
Data Umbrella and PyMC are organizing a series of open source working sessions:

• it is online, and will be on Discord
• it is free
• it is beginner-friendly

-----------------------------
Registration Form
-----------------------------
Estimated time to complete form: 5-10 minutes

1. All attendees must complete this registration form to join the open source events.
2. Once you complete this sign-up form, you will be added to the working session event mailing list and receive updates.
3. We will use the GitHub and Discord names to set up pair programming teams.

Registration Form Deadline: rolling basis, or when we run out of space. We encourage you to sign up sooner rather than later.

--------------------------
Joining the Event
--------------------------
These events are focused on increasing the participation of underrepresented persons in open source and returning contributors.
We welcome allies to join who:
(a) Contribute to creating a space that welcomes underrepresented persons. Example: Give women and other underrepresented persons a chance to speak.
(b) Who use inclusive language. Example: folks, you'll , everyone (Do not use: "guys")
(c) Who agree to follow our Code of Conduct.

-----------------------------
EVENT WEBSITE
-----------------------------
See the event website for full details:
• Full event website
• Event logistics
• Organizer information
• Preparation work
• GitHub event repo

--------------------------------
REQUIREMENTS
-------------------------------
1. Follow the Code of Conduct and contribute to creating a professional, welcoming and inclusive environment. (https://www.dataumbrella.org/about/code-of-conduct)
2. Must have a GitHub account.
3. PREREQS: Any of these skills will be helpful to have:
GitHub, Git, Markdown, Sphinx
Python, statistics, Bayesian, machine learning

For newcomers: we have options to watch our PyMCon 2020 videos and add video descriptions and timestamps. There are various ways to contribute!

--------------------------------
CONTACT
--------------------------------
For our past event videos, subscribe to our YouTube: https://www.youtube.com/c/dataumbrella

 
 
 

To join the event, please do the following:

1. Read through the WEBSITE: https://pymc-data-umbrella.xyz/en/latest/

2. Complete this sign-up FORM. It will take 5-10 minutes to complete. You must complete this form to receive event updates:
https://tinyurl.com/du-pymc-os-ws

3. You can add the events to your personal CALENDAR: https://pymc-data-umbrella.xyz/en/latest/2022-07_sprint/schedule.html#schedule

4. Join Data Umbrella Discord: https://discord.gg/cvNEkpC4Fx

About
-----------------------------
Data Umbrella and PyMC are organizing a series of open source working sessions:

• it is online, and will be on Discord
• it is free
• it is beginner-friendly

Registration Form
-----------------------------
Estimated time to complete form: 5-10 minutes

1. All attendees must complete this registration form to join the open source events.
2. Once you complete this sign-up form, you will be added to the working session event mailing list and receive updates.
3. We will use the GitHub and Discord names to set up pair programming teams.

Registration Form Deadline: rolling basis, or when we run out of space. We encourage you to sign up sooner rather than later.

--------------------------
Joining the Event
--------------------------
These events are focused on increasing the participation of underrepresented persons in open source and returning contributors.
We welcome allies to join who:
(a) Contribute to creating a space that welcomes underrepresented persons. Example: Give women and other underrepresented persons a chance to speak.
(b) Who use inclusive language. Example: folks, you'll , everyone (Do not use: "guys")
(c) Who agree to follow our Code of Conduct.

--------------------------
EVENT WEBSITE
--------------------------
See the event website for full details:
• Full event website
• Event logistics
• Organizer information
• Preparation work
• GitHub event repo

--------------------------------
REQUIREMENTS
-------------------------------
1. Follow the Code of Conduct and contribute to creating a professional, welcoming and inclusive environment. (https://www.dataumbrella.org/about/code-of-conduct)
2. Must have a GitHub account.
3. PREREQS: Any of these skills will be helpful to have:
GitHub, Git, Markdown, Sphinx
Python, statistics, Bayesian, machine learning

For newcomers: we have options to watch our PyMCon 2020 videos and add video descriptions and timestamps. There are various ways to contribute!
--------------------------------
DATA
-------------------------------
Data from this application will be reported in aggregate. Information will not be shared with any third parties.
Example of previous reports: https://blog.dataumbrella.org/tags/#sprint-report
--------------------------------
CONTACT
--------------------------------
Any questions, email us at [masked]
For upcoming Data Umbrella events, join our Meetup group: https://www.meetup.com/data-umbrella/
For our past event videos, subscribe to our YouTube: https://www.youtube.com/c/dataumbrella

 
 
 

## Link to join the webinar here:

https://www.bigmarker.com/neo4j/Data-Umbrella-Webinar

--------------------------------
Video Recording
--------------------------------
This event will be recorded and placed on our YouTube. We usually have it up within 24 hours of the event. Subscribe to our YouTube and set your notifications:
https://www.youtube.com/c/DataUmbrella/

--------------------------------
Time
--------------------------------
9am PT / 12pm ET / 7pm EAT / 9:30 PM IST

## Speaker

Emily Lescak and Diego Saez-Trumper

## Talk Level

Beginner to Intermidiate

## Pre-reqs

None

## Prep Work

None

## Resources

https://research.wikimedia.org/
https://meta.wikimedia.org/wiki/User:Diego_(WMF)

## Event

During this session, Diego Saez-Trumper and Emily Lescak from the Wikimedia Foundation Research team will discuss the history and structure of the Wikimedia Foundation and how the data science community can contribute to Wikimedia projects.

## Speaker

Dr. Emily Lescak is the Senior Research Community Officer at The Wikimedia Foundation, where she focuses on supporting, growing, and diversifying the global community of Wikimedia researchers. She began her data science career as a fisheries researcher in both the academic and government sectors. She transitioned full-time to non-profit program and community management work two years ago when she developed and managed Code for Science & Society's Event Fund, which provides financial and programmatic support to organizers of open data science events.

Diego Sáez Trumper is Chilean computer scientist, currently working as a Senior Research Scientist at the Wikimedia Foundation and Visiting Research Fellow at University Pompeu Fabra, where he obtained his PhD in 2013 under the supervision of Ricardo Baeza-Yates. Before, Diego worked as researcher and data scientist at NTENT, Eurecat, QCRI and Yahoo Labs. He has also been a visitor and collaborator of several universities such as UMFG (Brazil), Cambridge (UK), and UCU (Ukraine). His research focuses on the usage of data science to understand and deal with the diffusion of (dis)information in online platforms.

LinkedIn: https://www.linkedin.com/in/emily-lescak-b4652446/
Twitter: https://twitter.com/elescak
GitHub:

LinkedIn: https://es.linkedin.com/in/diego-s%C3%A1ez-trumper-5b24a2aa
Twitter: https://twitter.com/e__migrante
GitHub: https://github.com/digitalTranshumant

===

## CONNECTING WITH US

We invite you to follow us on our social networking sites to keep up to date on the latest news we will be sharing.

• MEETUP: https://www.meetup.com/data-umbrella/
• JOB BOARD: https://jobs.dataumbrella.org/
• NEWSLETTER: https://dataumbrella.substack.com/
• TWITTER: https://twitter.com/DataUmbrella
• YouTUBE: https://www.youtube.com/c/dataumbrella
• LinkedIn: www.linkedin.com/company/dataumbrella/
• Instagram: https://www.instagram.com/data.umbrella/

 
 
 

## Link to join the webinar here:

Zoom Link: https://us06web.zoom.us/meeting/register/tZ0vdOytpj0jGdVrlmBZgOVG_TS2QAJREIRZ
--------------------------------
Video Recording
--------------------------------
This event will be recorded and placed on our YouTube. We usually have it up within 24 hours of the event. Subscribe to our YouTube and set your notifications:
https://www.youtube.com/c/DataUmbrella/

--------------------------------
Time
--------------------------------
7am PT / 10am ET / 5pm EAT / 7:30 PM IST

## Speaker

Nidhin Pattaniyil and Vishal Rathi

## Talk Level

Intermediate

## Pre-reqs

-Basics of Machine Learning.
-Some familiarity with PyTorch or TensorFlow.
-Beginner knowledge of Python.

## Prep Work

None

## Resources

Will be provided later.

## Event

This talk is for a data scientist or ML engineer looking to serve their PyTorch models in production. It will cover post training steps that should be taken to optimize the model such as quantization and torch script. It will also walk the user in packaging and serving the model through Facebook's TorchServe.

## Speaker

Nidhin Pattaniyil is a Machine Learning Engineer in Walmart Search.

Vishal Rathi is a Software Engineer in Walmart Search.

LinkedIn: https://www.linkedin.com/in/nidhinpattaniyil/
GitHub: https://github.com/npatta01

LinkedIn: https://www.linkedin.com/in/vishalkumarrathi

===

## CONNECTING WITH US

We invite you to follow us on our social networking sites to keep up to date on the latest news we will be sharing.

• MEETUP: https://www.meetup.com/data-umbrella/
• JOB BOARD: https://jobs.dataumbrella.org/
• NEWSLETTER: https://dataumbrella.substack.com/
• TWITTER: https://twitter.com/DataUmbrella
• YouTUBE: https://www.youtube.com/c/dataumbrella
• LinkedIn: www.linkedin.com/company/dataumbrella/
• Instagram: https://www.instagram.com/data.umbrella/