By @joelgrus + @akm
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@joelgrus and @akm talk about data, science, data science, Shingy, and whatever else they feel like
||CleanEpisode 16: My Code of Ethics Will Forbid YAML||Adversarial Learning is back! In this long-delayed episode (thanks, technical difficulties) we are joined by data scientist Schaun Wheeler to discuss our favorite topic, data ethics. Highlights include: * Schaun's Medium post "An ethical code can’t..||5/25/2018||Free||View in iTunes|
||CleanEpisode 15: Could You Rephrase That As An Ethical Question?||Our guest this week is data scientist for good Lisa Green. Topics of discussion include What is ethics Joel's previous life as a financial analyst and the ethical dilemmas therein whether there's anything incriminating in Joel's Yahoo...||10/12/2017||Free||View in iTunes|
||CleanEpisode 14: Totally Derivative||Our guest this week is flashcard kingpin and former Partially Derivative co-host Chris Albon. Topics of discussion include how good it feels not to have a podcast machine learning flashcards being a "natsec bro" whether Chris would punch a Nazi...||9/25/2017||Free||View in iTunes|
||CleanEpisode 13: Back to School||It's Back to School time at Adversarial Learning! topics of discussion include OUR SPONSOR: the Metis Demystifying Data Science Conference (at which Joel is speaking, please listen to it) Sudbury education John Holt times tables whether...||9/11/2017||Free||View in iTunes|
||CleanEpisode 12: Data Science Myths||Data scientist Vicki Boykis joins Joel and Andrew to variously debunk and rebunk common Data Science Myths. Is data the new oil? Do data scientists spend 80% of their time munging and cleaning data? What happens if you look in the mirror and...||8/7/2017||Free||View in iTunes|
||CleanEpisode 11: Data Conferences||Andrew and Joel come out of hiatus to discuss data conferences: when to attend them, how to get your talk accepted, how to network, optimal heckling strategies, where to stay, and so on. Somehow they also end up talking about fidget spinners, the...||7/26/2017||Free||View in iTunes|
||CleanEpisode 10: Stories of Degradation and Humiliation||Friend of the podcast Tim Hopper joins us as we share stories of Very Bad Interviews we've been on. (As you probably expect, Joel has the most humiliating stories.) If you've ever gone on a terrible interview, listen and commiserate. If you've never...||5/22/2017||Free||View in iTunes|
||CleanEpisode 9: Owning a Planet||Our guests this week are Curtis Yarvin and Galen Wolfe-Pauly, which means that our topic is Urbit ("a virtual city of general-purpose personal servers"). What is it? Why is it? Is is a political project? And does it have anything to...||3/20/2017||Free||View in iTunes|
||CleanEpisode 8: On Flink||Our guest this week is Trevor Grant (@rawkintrevo), an Open Source Technology Developer Evangelist (or similar) at IBM. We discuss how to be a high-energy public speaker, all sorts of weirdly-named Apache projects, the "my name is" meme, why Joel...||3/3/2017||Free||View in iTunes|
||CleanEpisode 7: Telling a Bot to Go Shove It||Our guest this week is Juliet Hougland (@j_houg), data scientist and engineer at Cloudera. We discuss that bad Wired article about physics and software engineering, why Juliet knows so much about Urbit, censorship (Twitter and otherwise), dark...||2/24/2017||Free||View in iTunes|
||CleanEpisode 6: Good Data Science Is Always Political||Is good data science always political? Our regularly scheduled guest had to cancel at the last minute, so Joel and Andrew decided to talk about politics. Topics covered include: the one data scientist who’s not on twitter how much...||2/10/2017||Free||View in iTunes|
||CleanEpisode 5: The Legend of Plas Vander||Our guest is Jake VanderPlas, who is a real Data Science Fellow at the UW eScience Institute, and is the author of the recently published Python Data Science Handbook. Topics discussed include BiCapitalization bridging the astronomy-astrology...||1/13/2017||Free||View in iTunes|
||CleanEpisode 4: Datasets We Hate||Our guest this week is Sarah Guido (@sarah_guido), Senior Data Scientist at Mashable. We discuss datasets we hate, how to pronounce "La Croix", what makes "library science" a science, 9/11, data science networking, Joel's plan to build a Twitter...||1/3/2017||Free||View in iTunes|
||CleanEpisode 3: Beantown Data Science||Our guest this week is Andrew Therriault (@therriaultphd). We talk about data science in the big city, politics, slime in the ice machine, labor unions, how easy it is to join datasets, and whether Boston really deserves to be called Beantown.||12/22/2016||Free||View in iTunes|
||CleanEpisode Two: The Tallest Data Scientist||Our guest this week is Tim Hopper (@tdhopper), the tallest data scientist. We discuss life, blogs, robots, Twitter, and other data-related stuff, but Joel keeps returning to the topic of his height.||12/6/2016||Free||View in iTunes|
||CleanEpisode One: A New Hope||@akm and @joelgrus talk about data, science, data science, Dave Shing, and whatever else we feel like||11/10/2016||Free||View in iTunes|
Not a formally structured or executed podcast but a delight to listen to. These guys' sense of humor and snark is right up my alley. Some legit insight among the smartassery. Good guests so far, too.
Comfortable and substantive
The hosts and guests are genuine and have an organic conversation as if we aren't even there. Pretty good balance between the day-to-day realities of data science vs technical details, and there's not a lot of fetishizing the latest tech trends.
Listen to this if you want a realistic window into the world of data science, as opposed to the bubblegum, overproduced approach of others.
Great discussions, but...
When they get into the actual details of particular technology, techniques, or methods, it's *really* great and I learn a great deal. But a lot of the time they sound like smart, snarky kids teasing dumber kids. As successful professionals, they should be able to avoid this: when life is going well, there's no reason to be mean and snarky.