Skip to content
View skirmer's full-sized avatar

Organizations

@Data4Democracy

Block or report skirmer

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 250 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
skirmer/README.md

Hello!

I'm a machine learning engineer in Chicago, and you may know me from my public presentations about data science, machine learning, and data engineering! I love my work and I especially love sharing it with others.

Writing

I write a monthly column on Towards Data Science about AI, machine learning, and society. Please subscribe via RSS to get it emailed to you!

Here's some highlights I recommend to get started:

Talking

I also give talks all over the place, and I usually make the decks available here on github. Here's a few!

You can see my back history of talks as well if you're thinking "wait, what conference was it where I saw her do that thing?"

I do a day job too

Pinned Loading

  1. elastic_analytics elastic_analytics Public

    Supplementary materials on integrating Elasticsearch and R/Python

    Shell 5 3

  2. animating_dataviz animating_dataviz Public

    Materials for a talk about adding animations to R visualizations

    HTML 35 7

  3. radlibs radlibs Public

    R and Python Packages for making your own madlibs.

    Python 9 1

  4. team_collab team_collab Public

    R Packages for Team Collaboration Materials

    R 7 2

  5. isolation_forests isolation_forests Public

    Materials for talk about isolation forests for anomaly detection

    Jupyter Notebook 1 1

  6. saturncloud/dask-pytorch-ddp saturncloud/dask-pytorch-ddp Public

    dask-pytorch-ddp is a Python package that makes it easy to train PyTorch models on dask clusters using distributed data parallel.

    Python 59 9