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
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
Data Science Learning Club Activity 16 – Genetic Algorithms
Data Science Learning Club Meet & Greet
Mentioned in the episode:
Dr. Kenneth Stanley at the University of Central Florida
Michigan State University Artificial Intelligence
BEACON NSF Science and Technology Center at MSU
- Here’s Waldo: Computing the optimal search strategy for finding Waldo
- Computing the Optimal Road Trip Across the U.S.
- Computing Optimal Road Trips on a Limited Budget
- Machine Learning Madden NFL
Moneyball (book)
Data Science Handbook (book)
]]>
]]>(Readers told me that the link above doesn’t discount at all for International shipping, so if you are outside the US, use this link for $3.99 off – equivalent to US Shipping cost)
The design is a combination of those submitted to our contest by Amarendranath “Amar” Reddy and Ryne & Alexis. You can see their design submissions and read more about them on the finalists post! They are each receiving prizes for being selected. Thanks Amar, Ryne, and Alexis for the awesome design!
There are a variety of styles and colors available. The Premium Tee is 100% cotton. The Women’s Premium is a 50/50 cotton/poly blend, and is cut to fit more snugly. They are available in navy blue, gray, purple, and black. There’s even a long-sleeve version!
I make anywhere from $2-$7 on each order (it’s print-on-demand, so not cheap enough for me to make a significant profit yet, and my proceeds will be lower with the free shipping offer, but I want to reward those of you who are excited to flaunt your Becoming a Data Scientist status!) and every dollar earned from these will be going to the fund that helps support my new small team of assistants, who you’ll meet soon! Also, the more of them I sell, the lower the cost to print is per shirt, so please share with all of your friends!
Here are photos of me wearing the shirt, but this was before I made the front design slightly smaller (so it doesn’t wrap into armpit), and I moved the back design slightly higher and also made the gray dots (data points?) transparent so the color of the shirt will show through there now (see store images above for current design). You can see that the teal came out as a lighter blue in printing. This is the “Premium Tee” style in “New Navy”.
Here’s a model wearing a simulated version of the shirt.
Order yours here, with Free Shipping Until March 1!
]]>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]]>
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
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
Data Science Learning Club Activity 15 – Explain an Analysis (Communication)
Data Science Learning Club Meet & Greet
Mentioned in the episode:
NASA Knowledge (@NASAKnowledge on twitter)
Engineering Management
Knowledge Management
Organizational Learning
Knowledge Engineering
Information Architecture
Data Analysis
Neo4j
Elasticsearch
IHS Goldfire
MongoDB
@davidmeza1 on Twitter
David Meza on LinkedIN
Southern Data Science Conference in Atlanta, GA on April 7, 2017 (Coupon code RENEE takes 15% off ticket price)
]]>Thanks to my generous Patreon supporters, I can hire someone to help me out 8-20 hours per month, paying $15/hr. More info and application form at this link.
Please let me know if you have any questions or if there are any problems with the form. Email me at renee@becomingadatascientist.com or tweet me at @becomingdatasci.
I look forward to reading the applications!!
]]>I outlined my whole plan here on my Patreon Campaign. You’ll see a new page on this site soon acknowledging supporters, and I’ll update you on the progress.
Whether you can give financially, or even if you just share the campaign with your data science friends, you are helping Becoming a Data Scientist podcast, the learning club, Data Sci Guide, Jobs for New Data Scientists, and all of my websites get off the ground! Thank you!!
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]]>
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
More about the Data Science Learning Club:
Data Science Learning Club Welcome Message
[learning club activity coming soon]
Data Science Learning Club Meet & Greet
Links to topics mentioned by Stephanie in the interview:
Total Domination in Graph Theory (pdf)
Some research publications by Stephanie:
Machines Watch you Surf the Web
Total domination dot-stable graphs
The University of Tennessee Knoxville Center for Intelligent Systems and Machine Learning (CISML)
UTK Distributed Intelligence Laboratory
UTK Infant Perception Action Laboratory
Natural Language Processing (NLP)
Explore Data Science (now via Metis)
]]>Data Scientist, Author, and manager of data science teams Enda Ridge talks to us about data governance, data provenance, reproducible analysis, work pipelines and products, and people, among other topics covered in his book “Guerrilla Analytics – A practical Approach to Working with Data: The Savvy Manager’s Guide”.
Podcast Audio Links:
Link to podcast Episode 7 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
Learning Club Activity 7: Linear Regression [coming soon]
Data Science Learning Club Meet & Greet
More show Notes Coming Soon!
Enda’s book on Amazon:
In Episode 4 of the Becoming a Data Scientist Podcast, we meet Sherman Distin, owner of analytics consulting firm QueryBridge. We discuss his primarily self-taught path to learning the data science techniques he uses to find business insights in marketing data, and he also tells us what he thinks is the most important trait he looks for in data scientists.
Podcast Audio Links:
Link to podcast Episode 4 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
Learning Club Activity 4: Learn a New Math Concept [to be posted Tuesday]
Data Science Learning Club Meet & Greet
Resources/topics mentioned by Sherman in the interview:
QueryBridge (Sherman’s business)
Target Pregnant Customer story
Survival Analysis
Proportional Hazards Model
@ShermanDistin on Twitter
]]>