Becoming a Data Scientist Episode 17: Andrew Therriault
In the first episode of the Becoming a Data Scientist podcast recorded in front of a live audience, Renee interviews Andrew Therriault – formerly the Director of Data Science for the Democratic National Committee & Chief Data Officer for the City of Boston, and currently Data Science Manager at Facebook – about how he learned data science, what advice he has for people who want to learn data science and apply for data science jobs, and about his career path as a Data Scientist and leader in the field.
RVATech Summit Slides
I promised the audience at the RVATech Summit yesterday that I’d post the updated slides for my “Can a Machine be Racist or Sexist?” talk, so here they are! Here is the link to the previous post, which has a pdf version of the slides that’s almost identical, and a video from when I gave this talk at Tom Tom Fest Applied Machine Learning Conference in 2018. Here’s the blog post that was the start of researching this topic, for me. Here’s the twitter list of people who talk about Ethics & Law in AI/ML. And here’s the flipboard magazine where I collect articles on this topic....
APRA Data Analytics Symposium 2018
Hi, #APRADAS2018 Attendees! I plan to come back and add more info here in the future, but for now, here is a PDF version of my slides: My Journey from Advancement Data Analyst to Data Scientist
Can a Machine Be Racist or Sexist?
I presented a talk with this title at the Applied Machine Learning Conference at Tom Tom Fest in Charlottesville (which I also helped plan) last Thursday April 12, 2018.
My interest in this topic started long ago, and I partially based this talk off of my blog post “A Challenge to Data Scientists” from 2015. There are a ton of links throughout, and I included the slide notes so you have those along with the presentation…
Podcast Listens Analysis
I’ve been telling everyone that I’d do something “data fun” when I hit 20K Twitter followers, so I posted an analysis of my podcast listeners! I used python and pandas in a Jupyter notebook for the first part, then I did a dashboard in Tableau for the last part.
Becoming a Data Scientist Podcast Special Episode
Becoming a Data Scientist podcast, Partially Derivative podcast, Adversarial Learning podcast, and some other awesome data people that do elections forecasting for their day jobs joined together for this talk about the US election and the subsequent major questions surrounding the predictions, since basically all of them heavily leaned toward a different overall outcome than we got. If you’re interested at all in data science surrounding political campaigns, this episode is a must-listen!