R, Data Science, & Computational Biology
Practical AI: Machine Learning, Data Science
English - October 06, 2020 14:45 - 54 minutes - 49.7 MB - ★★★★★ - 37 ratingsTechnology Education How To changelog machine learning deep learning artificial intelligence neural networks computer vision Homepage Download Apple Podcasts Google Podcasts Overcast Castro Pocket Casts RSS feed
We’re partnering with the upcoming R Conference, because the R Conference is well… amazing! Tons of great AI content, and they were nice enough to connect us to Daniel Chen for this episode. He discusses data science in Computational Biology and his perspective on data science project organization.
We’re partnering with the upcoming R Conference, because the R Conference is well… amazing! Tons of great AI content, and they were nice enough to connect us to Daniel Chen for this episode. He discusses data science in Computational Biology and his perspective on data science project organization.
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Featuring:
Daniel Chen – Twitter, GitHub, WebsiteChris Benson – Twitter, GitHub, LinkedIn, WebsiteDaniel Whitenack – Twitter, GitHub, Website
Show Notes:
R Conference:
Website
Twitter: @rstatsdc
Tickets
Discount code PRACTICALAI20 is good for 20% off every ticket type, including the conference & all workshops
Links relevant to the show:
William Stafford Noble 2009 - A Quick Guide to Organizing Computational Biology Projects
Greg Wilson, et al. 2014: “Best Practices for Scientific Computing”
Greg Wilson, et al. 2017: “Good enough practices in scientific computing”
Jenny Bryan’s code smells: link 1 and link2
Jenny Bryan on naming things
JD Long’s talk at rstudio::conf this year about being empathetic
python’s version of pyprojroot
“Be kind: all else is details”. – Greg Wilson, Teaching Teach Together – The Rules
Books
“Pandas for Everyone” by Daniel Chen
“Advanced R” by Hadley Wickham
Something missing or broken? PRs welcome!