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…