What we're about

WiMLDS's mission is to support and promote women and gender minorities who are practicing, studying or interested in the fields of machine learning and data science. We create opportunities for women and gender minorities to engage in technical and professional conversations in a positive, supportive environment by hosting talks by prominent data scientists, technical workshops, networking events and hackathons. We are inclusive to anyone who supports our cause regardless of gender or technical background. However, in support of our mission, priority for certain events and opportunities will be given to women and gender minorities.

Our Code of Conduct (https://github.com/WiMLDS/starter-kit/wiki/Code-of-conduct) is available online and applies to all our spaces, both online and off.

WiMLDS Website (http://wimlds.org/)

@WiMLDS_NYC (https://twitter.com/WiMLDS_NYC) on Twitter

@wimlds (https://www.instagram.com/wimlds/) on Instagram

@women-in-machine-learning-data-science (https://www.linkedin.com/company/women-in-machine-learning-data-science/) on LinkedIn

Upcoming events (5)

How Embeddings Power Machine Learning

Hudson Yards

------------------------------- AGENDA ------------------------------- NOTE: PLEASE ARRIVE AT THE LOCATION EARLY TO GET A VISITOR PASS. Once you enter the building, please take the escalator up to reception and present a government ID to get the visitor pass. You will be directed to the proper floor once you get the pass. 6:30 – 7:00 Networking with refreshments 7:00 - 7:15 Introduction 7:15 - 8:00 Douwe Osinga – How embeddings power Machine Learning 8:00 - 8:30 More networking ------------------------------- SPEAKER & TALK INFO ------------------------------- Title: How embeddings power Machine Learning Abstract: Embeddings are everywhere in machine learning yet usually not very visible. We use embedding layers when one hot encodings don’t cut it or to visualize relations between words but usually we don't appreciate the crucial role they play in artificial intelligence. This talk tells the story of embeddings by showing not only how they are used in different deep learning models, but also how they can really help us get an intuition about how these models function. We'll start by looking at MNIST handwritten digits, before moving on to embedding words for fun and profit. After that, we'll look at modern image recognition systems and how that recognition is just a nearest neighbor search on the produced embeddings. We'll close by looking at how embeddings are used in machine translation and how that work opens up the tantalizing perspectives of using thought vectors towards general intelligence. Bio: Douwe Osinga is a serial entrepreneur and a machine learning enthusiast, currently working at Sidewalk Labs as the Tech Lead on Generative Urban Design. Before coming to New York he founded Triposo in Berlin, Germany, everybody's favorite mobile travel guide. Before that he worked for Google in Switzerland, India and Australia. He's the author of "Deep Learning Cookbook." ----------------------------------------- ABOUT SIDEWALK LABS ----------------------------------------- Sidewalk Labs is an Alphabet company tackling the challenges of urban growth. Our vision for cities is rooted in a cross-disciplinary approach that is reflected in our team, composed of experts from real estate, government, finance, technology, engineering and more. Since our founding in 2015, we have grown into an organization of over 100 employees based primarily in New York and Toronto. Sidewalk Labs Job Board: https://boards.greenhouse.io/sidewalklabs ------------------------------- CODE OF CONDUCT ------------------------------- WiMLDS is dedicated to providing a harassment-free experience for everyone. We do not tolerate harassment of participants in any form. All communication should be appropriate for a professional audience including people of many different backgrounds. Sexual language and imagery is not appropriate. Be kind to others. Do not insult or put down others. Behave professionally. Remember that harassment and sexist, racist, or exclusionary jokes are not appropriate. Thank you for helping make this a welcoming, friendly community for all. All attendees should read the full Code of Conduct before participating: https://github.com/WiMLDS/starter-kit/wiki/Code-of-conduct You must provide an ID for security. NO GUESTs allowed.

Part 1: Bayesian Workflows with CmdStanPy (@WeWork) [with NYC PyLadies]

Learn how to implement Bayesian workflows using CmdStanPy (a Python interface for Stan). In this hands-on workshop, we will be working with a very fun (surprise!) dataset and make predictions using Bayesian methods. CmdStanPy allows pythonistas to add the power of Bayesian inference to their toolkit via a small set of functions and objects designed to use minimal memory and parallelize computation. Given a dataset and a statistical model written as a Stan program, CmdStanPy compiles the model, runs Stan’s MCMC sampler (via CmdStan) to obtain a sample from the posterior, and assembles this sample as a numpy nd-array or pandas.dataframe for downstream visualization and analysis. This event is the first of a two-part series on CmdStanPy. The second event (on August 14th) will be in the style of an OS Sprint where Python developers (at all levels!) will get to contribute to testing the package before its release. If you’re a proponent of contributing to open source or have wondered how to contribute to an OS software package - please keep an eye out for the Meetup post for Event 2! ------------------------ AGENDA ------------------------ 6:30pm - 7:00pm: Networking / Intros 7:00pm - 7:30pm: Intro to Bayesian Inference using Stan 7:30pm - 8:30pm: Hands-on Workshop 8:30pm - 9:00pm: Wrap Up / Networking ------------------------ SPEAKER BIO ------------------------ Mitzi Morris is a member of the Stan development team and the developer of CmdStanPy. She has worked as a software engineer in both academia and industry. She started out writing tools for Natural Language Processing in C and Java, then moved to genomics and biomedical informatics where she built pipelines for high-throughput sequencing electronic medical records data, all of which led to an increased interest in doing more and better statistics. She has been a Stan contributor since 2014 and joined the Stan team at Columbia in 2017. ---------------------------- ABOUT WeWork ---------------------------- WeWork’s rapid growth is driven by our technology - the majority of which has been built in-house - which spans R&D, construction, real estate and design, as well as community experiences. We're much more than just a dynamic co-working space or incubator. Technology is woven into everything we do. ------------------------------- CODE OF CONDUCT ------------------------------- WiMLDS is dedicated to providing a harassment-free experience for everyone. We do not tolerate harassment of participants in any form. All communication should be appropriate for a professional audience including people of many different backgrounds. Sexual language and imagery is not appropriate. Be kind to others. Do not insult or put down others. Behave professionally. Remember that harassment and sexist, racist, or exclusionary jokes are not appropriate. Thank you for helping make this a welcoming, friendly community for all. All attendees should read the full Code of Conduct before participating: https://github.com/WiMLDS/starter-kit/wiki/Code-of-conduct ------------------------ WHAT TO BRING ------------------------ - Your laptop - A government-issued ID for getting into the building

Intro to Git & GitHub Workshop (@Button) [with NYC PyLadies]

This workshop will cover Git, the open source version control system for storing your programs. It will cover the Git CLI (command line interface), not Git GUI or Git Desktop. Workshop Outline: • Introduce Git & GitHub; explain the difference between the two • Introduce GitHub website and; review settings and options on GitHub account • Create a repo on GitHub website • Set up a repo on GitHub and invite collaborators • Fork and clone user or organization repo • Use branches on GitHub (*time permitting) • Undo changes - revert commits (*time permitting) ------------------------ AGENDA ------------------------ 6:30pm - 6:45pm: setup & intros 6:45pm - 8:00pm: workshop 8:00pm - 8:30pm: networking ------------------------------- CODE OF CONDUCT ------------------------------- WiMLDS is dedicated to providing a harassment-free experience for everyone. We do not tolerate harassment of participants in any form. All communication should be appropriate for a professional audience including people of many different backgrounds. Sexual language and imagery is not appropriate. Be kind to others. Do not insult or put down others. Behave professionally. Remember that harassment and sexist, racist, or exclusionary jokes are not appropriate. Thank you for helping make this a welcoming, friendly community for all. All attendees should read the full Code of Conduct before participating: https://github.com/WiMLDS/starter-kit/wiki/Code-of-conduct ------------------------ WHAT TO BRING ------------------------ - Your laptop - A government-issued ID for getting into the building ------------------------ PREPARATION ------------------------ 1. GitHub account Please have a GitHub account https://github.com and save your user id and password in an easily accessible place. 2. Unix terminal Attendees should have access to a Unix terminal (via Mac or Ubuntu). Mac users: https://git-scm.com/downloads Windows users: Install Git Bash https://www.atlassian.com/git/tutorials/git-bash 3. Git installed Ensure that Git is installed by typing: $ git --version ------------------------ OPTIONAL PREP ------------------------ 1. Terminal Editor (check that you have one of the following installed): Vim, Emacs, Nano 2. If not Terminal Editor, then one of the Graphical Editors: Sublime, Atom, Spyder, PyCharm, Rodeo 3. Familiarity with Markdown is helpful, but not required

Part 2: CmdStanPy Sprint Night (@WeWork) [with NYC PyLadies]

Join a sprint session for Python developers to work on CmdStanPy (all levels welcome)! We’ll be contributing to an open source package that helps pythonistas seamlessly integrate Stan (a probabilistic programming language) into their pipelines. We have tasks for developers at all levels. If you have never contributed to open source before, we have things for you to do/learn as well: come, contribute to the docs and/or close a pull request! CmdStanPy allows pythonistas to add the power of Bayesian inference to their toolkit via a small set of functions and objects designed to use minimal memory and parallelize computation. Given a dataset and a statistical model written as a Stan program, CmdStanPy compiles the model, runs Stan’s MCMC sampler (via CmdStan) to obtain a sample from the posterior, and assembles this sample as a numpy nd-array or pandas.dataframe for downstream visualization and analysis. This event is the second of a two-part series on CmdStanPy. The first event was a primer on executing Bayesian Workflows using CmdStanPy. The details for this can be found at: [ENTER LINK] (It is not necessary to have attended the first event to be able to contribute to the Sprint.) ------------------------ AGENDA ------------------------ 6:30pm - 7:00pm: networking 7:00pm - 7:30pm: intro on contributing to OS using Github 7:30pm - 8:30pm: sprint session 8:30pm - 9:00pm: wrap up / networking ------------------------ SPEAKER BIO ------------------------ Mitzi Morris is a member of the Stan development team and the developer of CmdStanPy. She has worked as a software engineer in both academia and industry. She started out writing tools for Natural Language Processing in C and Java, then moved to genomics and biomedical informatics where she built pipelines for high-throughput sequencing electronic medical records data, all of which led to an increased interest in doing more and better statistics. She has been a Stan contributor since 2014 and joined the Stan team at Columbia in 2017. ---------------------------- ABOUT WeWork ---------------------------- WeWork’s rapid growth is driven by our technology - the majority of which has been built in-house - which spans R&D, construction, real estate and design, as well as community experiences. We're much more than just a dynamic co-working space or incubator. Technology is woven into everything we do. ------------------------------- CODE OF CONDUCT ------------------------------- WiMLDS is dedicated to providing a harassment-free experience for everyone. We do not tolerate harassment of participants in any form. All communication should be appropriate for a professional audience including people of many different backgrounds. Sexual language and imagery is not appropriate. Be kind to others. Do not insult or put down others. Behave professionally. Remember that harassment and sexist, racist, or exclusionary jokes are not appropriate. Thank you for helping make this a welcoming, friendly community for all. All attendees should read the full Code of Conduct before participating: https://github.com/WiMLDS/starter-kit/wiki/Code-of-conduct ------------------------ WHAT TO BRING ------------------------ - Your laptop - A government-issued ID for getting into the building

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