It’s been brought to my attention that iTunes only shows the last 10 episodes of the Becoming a Data Scientist Podcast. If you haven’t seen/heard episodes 0-3, you can …
Author: Renee
Becoming a Data Scientist Survey
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Boosting (in Machine Learning) as a Metaphor for Diverse Teams
Boosting ensemble algorithms in Machine Learning use an approach that is similar to assembling a diverse team with a variety of strengths and experiences. If machines make better decisions by combining a bunch of “less qualified opinions” vs “asking one expert”, then maybe people would, too.
Becoming a Data Scientist Podcast Episode 13: Debbie Berebichez
In this interview, we meet physicist Debbie Berebichez, who you might recognize from her TEDx talks, her appearances in Discovery Channel’s Outrageous Acts of Science and other TV shows! Debbie grew up in Mexico City and was discouraged by her family and teachers from studying science, but later went on to become the first Mexican woman to get a PhD in physics from Stanford, and is now Chief Data Scientist at Metis Data Science Bootcamp in New York.
Podcast Audio Links:
Link to podcast Episode 13 audio
Podcast’s RSS feed for podcast subscription apps
Becoming a Data Scientist Podcast Episode 12: Data Science Learning Club Members
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
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 09: Justin Kiggins
Justin Kiggins, who calls himself a “full stack neuroscientist” talks to Renee about how he started as a musician majoring in music therapy, switched to mechanical engineering, and eventually made his way via biomedical engineering and neuroscience to study auditory perception and the brains of communicating birds.
Podcast Audio Links:
Link to podcast Episode 9 audio
Podcast’s RSS feed for podcast subscription apps
Podcast on Stitcher
Podcast on iTunes
Podcast Video Playlist:
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:
Becoming a Data Scientist Podcast Episode 07: Enda Ridge
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