2 Quick Announcements

July 25, 2017

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 a busy week at work and wasn’t planning on site maintenance here this week, so it might be this way for a little bit. I am aware of it and a fix is on my to-do list, though! Thanks for your patience. 2. I published a post over on DataSciGuide about resources for data science beginners. Check it out! Thanks for your continued readership here! P.S. I’m working on the podcast again, so the 2 already-recorded episodes are back in the work pipeline...

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Introductory Machine Learning Terminology with Food

July 17, 2017

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).

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Bias in Machine Learning Flipboard Magazine

March 25, 2017

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!

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Becoming a Data Scientist Podcast Episode 16: Randy Olson

March 22, 2017


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

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PyData DC 2016 Talk

October 11, 2016

I just got back from PydataDC, where I learned a lot, had fun, and met a bunch of awesome people! I’ll definitely write about it more later, but I wanted to share my slides here since I told the attendees they could find them on my website. I got good feedback on the talk, and I’m so glad that my message resonated with some people! The talk was recorded and video should be out within a few weeks! Here are the slides: Becoming a Data Scientist – Advice from my Podcast Guests and the slide notes. Update 10/26: Here is the recording of my talk, with a playlist of other talks from PyData...

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Becoming a Data Scientist Podcast Episode 12: Data Science Learning Club Members

June 15, 2016


Verena, David, Kerry, and Anthony are members of the Becoming a Data Scientist Podcast Data Science Learning Club! They appear in the order in which they joined the club, and each discuss their starting points before joining, their participation in the activities, and advice they have for new data science learners.

Podcast Audio Links:
Link to podcast Episode 12 audio
Podcast’s RSS feed for podcast subscription apps
Podcast on Stitcher
Podcast on iTunes

Podcast Video Playlist:
Youtube playlist of interview videos

More about the Data Science Learning Club:
Data Science Learning Club Welcome Message

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