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..
Tag: data science
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).
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
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!
Becoming a Data Scientist Podcast Episode 11: Stephanie Rivera
Stephanie Rivera has worked in machine learning and data science for academic research (at University of Tennessee), for the government (Department of Defense), for a large consulting firm (Booz Allen), and now for a startup (MyStrength). In the interview, she discusses her career path, her experiences with mentorship, and her role in authoring The Field Guide to Data Science and the Explore Data Science online course.
Podcast Audio Links:
Link to podcast Episode 11 audio
Podcast’s RSS feed for podcast subscription apps
Podcast on Stitcher
Podcast on iTunes
Podcast Video Playlist:
Youtube playlist of interview videos
Becoming a Data Scientist Podcast Episode 10: Trey Causey
Trey Causey is a data scientist with a background in psychology and sociology who, like Renee, is from Virginia. He has worked as a data scientist at a range of companies from zulily to ChefSteps, and has also developed some interesting sports analytics projects, including the New York Times 4th Down bot. Trey also has advice for people wanting to start a career in data science.
Podcast Audio Links:
Link to podcast Episode 10 audio
Becoming a Data Scientist Podcast Episode 08: Sebastian Raschka
Renee interviews computational biologist, author, data scientist, and Michigan State PhD candidate Sebastian Raschka about how he became a data scientist, his current research, and about his book Python Machine Learning. In the audio interview, Sebastian also joins us to discuss k-fold cross-validation for our model evaluation Data Science Learning Club activity.
Podcast Audio Links:
Link to podcast Episode 8 audio
Podcast’s RSS feed for podcast subscription apps
Podcast on Stitcher
Podcast on iTunes
Podcast Video Playlist: