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.
Author: Renee
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!
More silliness
Back before I had so many followers, and it was less stressful to put goofy stuff “in the wild”, I wrote data science parody lyrics to “Summer of ’69” and “For the Love of Money”. Well, a while ago, another idea popped into my head..
2 Quick Announcements
1. Sorry for the issues loading images and with logins on this site. I’ve had problems ever since I had bluehost set me up with HTTPS certificates, and apparently those certificates have expired or something and are causing issues with the images being able to load, etc. I’ll look into it, but I also have… Continue reading 2 Quick Announcements
Introductory Machine Learning Terminology with Food
I was just pondering some ways to discuss machine learning terminology in a way that would be accessible to beginners, and figured I’d share my semi-thought-out ideas here. I’m sure this has been done before, but here are some common machine learning terms couched in the language of cooking and food. Feedback welcome!
Machine Learning Algorithm
A machine learning algorithm is a list of instructions to guide a computer to analyze some data to find patterns, and works much like a cooking recipe. You put some data in (ingredients), do some stuff to it (preparation and cooking), and then evaluate how the results compare to what you were hoping to accomplish (photo in your cookbook and expectations of taste).
Summer of Data Science 2017
Since Memorial Day in the U.S. is the unofficial start of the summer season, I figured today would be a good time to launch the SUMMER OF DATA SCIENCE 2017!!!
The Summer of Data Science is a commitment to learn something this summer to enhance your data science skills, and to share what you learned.
Bias in Machine Learning Flipboard Magazine
Quick note for those of you who follow me on Flipboard. I added another one, seeded with links from my Challenge to Data Scientists article, on Bias in Machine Learning. Enjoy!
Becoming a Data Scientist Podcast Episode 16: Randy Olson
Renee interviews Randal S. Olson, Senior Data Scientist in the Institute for Biomedial Informatics at UPenn, about his path to becoming a data scientist, his interesting data science blog posts, and his work with non-data-scientists and students.
Podcast Audio Links:
Link to podcast Episode 16 audio
Podcast’s RSS feed for podcast subscription apps
T-Shirts!!
The Becoming a Data Scientist tees are ready to sell! I ordered a couple myself before posting them for sale, to make sure the quality was good. They came out great!! And if you order from Teespring before MarchApril 1 using this link: Becoming a Data Scientist Store – Free Shipping, you’ll get free shipping on your order! The design is a combination of those submitted to our contest by Amarendranath “Amar” Reddy and Ryne & Alexis.
Becoming a Data Scientist Podcast Episode 15: David Meza
David Meza is Chief Knowledge Architect at NASA, and talks to Renee in this episode about his educational background, his early work at NASA, and examples of his work with multidisciplinary teams. He also describes a project involving a graph database that improved search capabilities so NASA engineers could more easily find “lessons learned”.
Podcast Audio Links:
Link to podcast Episode 15 audio
Podcast’s RSS feed for podcast subscription apps