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… Continue reading RVATech Summit Slides
Tom Tom Fest Applied Machine Learning Conference 2019
The 2019 iteration of Tom Tom Fest (named after Thomas Jefferson) starts in under a month, and the Applied Machine Learning Conference (AMLC) is just over a month away, on April 11, in Charlottesville, VA! This is a conference I’ve helped plan since the beginning, and it’s grown in 3 years from a single theater… Continue reading Tom Tom Fest Applied Machine Learning Conference 2019
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
Summer of Data Science Goal-Setting
The purpose of the Summer of Data Science is to learn a specific topic or complete a specific project or read a book or finish a course so you can check something off of your long data science “to learn” list, and have fun achieving goals along with other data science learners during a fixed period of time. The deadline should be motivating, to get you to start and finish something before the summer is over.
Week 1 was all about brainstorming ideas and gathering resources – dreaming up what you’d love to learn, and finding content that will help you learn it.
Week 2 (which started yesterday, but don’t worry, jump in any time even if you see this a month from now) is all about goal-setting.
#CraftyDataViz Winners
About a month ago, on a whim, I posted the #CraftyDataViz contest, hoping for some beautiful and wacky homemade visualizations, and you all sure came through! The entries were gorgeous and the judging was super difficult!
Summer of Data Science 2018 #SoDS18 Launch Day!
The main goal of the Summer of Data Science is to learn something new during a fixed period of time, and share your progress and references to help and inspire others (and to get help from and get inspired by others, too!).
#CraftyDataViz Contest!
Being as spontaneous as usual, I asked if anyone would be interested in having a #CraftyDataViz contest, and several people responded yes! So, here we are. Time to get creative!
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.
Hi #DemystifyDS Attendees!
I’m assuming that some people who see my talk at Demystifying Data Science conference will be dropping by here, so I wanted to put up a quick post summarizing some of the resources I have made available to data science learners!