WiMLDS NYC: September 2021 Newsletter

Ellie D. Norris
WiMLDS NYC Blog
Published in
4 min readDec 12, 2022
Graphic Credit: https://towardsdatascience.com/resnets-why-do-they-perform-better-than-classic-convnets-conceptual-analysis-6a9c82e06e53

Special Announcements

Two Reminders:

  1. We plan to publish a quarterly Q&A with a chapter member who would like to be featured on our new blog. If (a) you have just completed a certificate/degree or (b) you are seeking a career or job change, this platform may be a great way to publicize your accomplishments and goals.
  2. We are seeking one or more volunteers to assist us with virtual event administration through 2021.

Please reach out to us at nyc@wimlds.org if you are interested in being featured in a publication or fill out this form if you are interested in volunteering.

Recurring WiMLDS Event

Graphic Credit: WiMLDS Bay Area

We will continue to co-host a monthly “Bicoastal Code, Coffee, and Quarantine” with the Bay Area Chapter where we may network, seek project advice and learn from each other.

If you would like to be a featured presenter in 4Q, please fill out this form or reach out to us at nyc@wimlds.org.

Inspiration Corner

Dr. Rana el Kaliouby is the author of Girl Decoded and a leading expert on technology and empathy and the ethics of AI. This past June, Affectiva, the company she co-founded, was acquired by Smart Eye. In this virtual sit-down, learn more about what inspires Dr. el Kaliouby and how new innovations will change how we interface with technology and connect and communicate as humans. Read the full article here.

External Events

📣 The PyData Global conference has reached out to the NYC WiMLDS chapter to invite our members to participate in this year’s conference and the presenter-mentoring program!

PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. PyData communities approach data science using many languages, including (but not limited to) Python, Julia, and R.

PyData conferences aim to be accessible and community-driven, with novice to advanced level presentations. PyData tutorials and talks bring attendees the latest project features along with cutting-edge use cases.

This three-day event consists of talks, tutorials, and discussions to bring attendees the latest project features along with cutting edge use cases.

The time span of the conference stretches beyond any single time zone, reflecting the global nature of our community. Each session will be recorded and made available to attendees the following day. Following the Conference, all recordings will be posted to the PyData YouTube channel.

AI Discussion Groups Mega Meetup via New York Artificial Intelligence (NYAI) & Aggregate Intellect

Date and Time: Tuesday, September 14th at 6:00 PM to 8:00 PM EDT

Join us in the sixth AI / ML Discussion Group Mega Meetup! Hear from our 9 ML Discussion Group Leads welcoming new entrants this time around.

6pm-6:45pm

  • Environmental Data Science (Hands-on)
  • Graph Neural Networks (Hands-on)
  • NLP Paper Discussions Group
  • ML in Blockchain (Hands-on)

6:45pm-7:30pm

  • Machine Learning Ethics (Hands-on)
  • ML in TimeSeries (Hands-on)
  • MLOPs
  • NLP Book Club

7:30–8pm

  • General networking

Five Ways to Increase your Model Performance using PyTorch Profiler via Open Data Science (ODSC) NY

Speaker: Sabrina Smai, Product Manager at Microsoft

Date and Time: Tuesday, September 21st at 3:00 PM to 4:00 PM EDT

We all like speed and want our models to run faster. The faster you can run your models, the further along you can get your models to production. This is where PIP INSTALL TORCH-TB-PROFILER comes in. In this session, we will go over the new PyTorch Profiler release features and how you can start leveraging this performance tool. We’ll be covering features like Distributed Training view, Memory view, GPU Utilization Visualization, and Cloud Storage Support.

LIVE TRAINING: Network Analysis Made Simple [PAID EVENT] via Open Data Science (ODSC) NY

Instructor: Eric J. Ma, Senior Expert II/Investigator III (Data Science & Statistical Learning) | Novartis Institutes for BioMedical Research (NIBR)

Date and Time: Thursday, September 30th at 1:00 PM to 5:00 PM EDT

“Have you ever wondered about how those data scientists at Facebook and LinkedIn make friend recommendations? Or how epidemiologists track down patient zero in an outbreak? If so, then this tutorial is for you. In this tutorial, we will use a variety of datasets to help you understand the fundamentals of network thinking, with a particular focus on constructing, summarizing, and visualizing complex networks.”

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Ellie D. Norris
WiMLDS NYC Blog

R&D IT Director, Data & Analytics Strategy @ Merck. "Future Medicine AI" Editorial Board Member. Informa Connect VisionAIres Community AI Leader.