The Data Skeptic Podcast features interviews and discussion of topics related to data science, statistics, machine learning, artificial intelligence and the like, all from the perspective of applying critical thinking and the scientific method to evaluate the veracity of claims and efficacy of approaches.
…
continue reading
内容由Joel Grus提供。所有播客内容(包括剧集、图形和播客描述)均由 Joel Grus 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal。
Player FM -播客应用
使用Player FM应用程序离线!
使用Player FM应用程序离线!
值得一听的播客
赞助
"The basic premise of the event is that hunters hunt rattlesnakes from the surrounding environment all across West Texas, and bring them into the roundup for the weekend. And during the roundup, these snakes are kept in a pit and then, one by one, beheaded and skinned in front of in front of audiences." - Elizabeth MeLampy Elizabeth MeLampy is a lawyer dedicated to animal rights and protection, and her passion for this work shines through in her latest book, Forget the Camel, the Madcap World of Animal Festivals and What They Say About Being Human . To research the book, Elizabeth traveled across the country, immersing herself in a wide range of animal festivals — from the Iditarod dog sled race to the rattlesnake roundup in Sweetwater, Texas. Elizabeth examines these festivals as revealing microcosms of our broader relationship with animals. Whether it's rattlesnake hunts, frog-jumping contests, ostrich races, or groundhog celebrations, these events reflect the ways humans use animals to express cultural identity, community pride, and historical traditions. Yet beneath the pageantry and excitement lies a deeper question: Is our fascination with these spectacles worth the toll it takes on the animals involved? With compassion and insight, Elizabeth invites readers to consider whether there’s a more ethical and empathetic way to honor our stories — one that respects both animals and the traditions they inspire. Please listen, share and read, Forget the Camel. It will be released on April 8th, 2025. https://apollopublishers.com/index.php/forget-the-camel/…
Adversarial Distancing - Episode 1
Manage episode 256745879 series 1312028
内容由Joel Grus提供。所有播客内容(包括剧集、图形和播客描述)均由 Joel Grus 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal。
in which Joel and Andrew briefly break quarantine to talk about Covid-19, social distancing, and the data science grift
…
continue reading
26集单集
Manage episode 256745879 series 1312028
内容由Joel Grus提供。所有播客内容(包括剧集、图形和播客描述)均由 Joel Grus 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal。
in which Joel and Andrew briefly break quarantine to talk about Covid-19, social distancing, and the data science grift
…
continue reading
26集单集
所有剧集
×It's been a couple of years, so Joel and Andrew catch up on what's new in life and in data science.
It turns out Joel wrote another book: Ten Essays on Fizz Buzz (Quarantine does strange things to a person.) In this episode Andrew and Joel discuss Fizz Buzz, what makes the book interesting, the value of deconstructing problems in different ways, Joel's side career in acting , why fluffy talks are easier to write than technical talks, the importance of staying fresh, whether "blocklist admin" is the job of the future, Minecraft classes, and how the quarantine is affecting our kids. Please listen to it.…
About a month ago we recorded a podcast with Jowanza Joseph about engineering and COVID-19 and other mundane topics. While I (Joel) was procrastinating on editing it, a lot happened in the world . And then Jowanza wrote a blog post about his experiences with racism and how they've affected his life. Which made it feel really weird to just put out an episode with him that doesn't mention any of these issues. So the three of us went back into the (metaphorical) studio and recorded another episode mostly about his blog post, about racism, and about the state of the world. (As always, we are incapable of staying 100% on-topic, but we did pretty good.) These aren't necessarily easy topics to discuss, but I think we did a respectful job of it, and I hope you find it interesting and worthwhile. The original podcast episode follows the new one, so you get two episodes in one. Please listen to it.…
Joel and Andrew break quarantine (metaphorically) to discuss treehouses, remote work, distance schooling, outschool.com, Joel's attempt to teach his daughter Python, old-school text adventures, socially-distanced eating, the Twitter UI, what happens to school in the fall, OKRs, and whether we should keep the economy closed or re-open it and kill people. Please listen to it.…
in which Joel and Andrew briefly break quarantine to talk about Covid-19, social distancing, and the data science grift
Our guest this week is Pardis Noorzad ( @djpardis ), former data science manager at Twitter and now Head of Data Science at Carbon Health . Our conversation spans a wide range of topics: the Tenderloin Carbon Health what Duran Duran has to do with Black History Month the "cold start problem" for becoming a DJ how long it takes to achieve domain expertise how many people there are in Canada how getting that first data science job is like DJ-ing loyalty the Go programming language the Hopper-Causey effect data science as quality control Please listen to it.…
Our guest this episode is Carl Gold (@carl24k), Chief Data Scientist at Zuora and author of the forthcoming book Fighting Churn with Data. Use the discount code podadvl19 to save some unspecified amount on it. Topics include * churn * writing a book * churn * running a subscription business * churn * domain expertise * p-hacking * churn * how Joel picks what song to use for the podcast intro * churn…
On this episode, Andrew is joined by Joel Grus (@joelgrus), the author of Data Science from Scratch, whose second edition just came out. They discuss spreadsheets, writing a book, Python 3, type annotations, Jupyter notebooks, reproducibility, and what it's like to do standup comedy at a conference that has a code of conduct. Please listen to it.…
Our guest this episode is data scientist Peadar Coyle . Topics include Brexit whether Europe is a Python continent or an R continent GDPR how data science is different in Europe than it is in the USA Joel's stock rant against "domain expertise" PyMC3 and Bayesian Analysis teaching online courses whether "primer" is pronounced "primer" or "primer" what Joel and Andrew are most excited about in data science Please listen to it.…
Adversarial Learning is back from its extended hiatus! Our guest is famous data scientist Josh Wills. We discuss why Josh is a famous data scientist, what it's like working at Slack, data science conferences, NLP's "imagenet moment", whether Joel should remove the MapReduce chapter from the 2nd edition of Data Science from Scratch, and which is the best Rush album. Please listen to it.…
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 be about ethics" * Do we need a "Hippocratic Oath" for data science * How to hire data scientists who won't steal people's kidneys * Why Joel has a Values Mug * The Manifesto for Data Practices * Is this all secretly a competency problem? * Skin in the Game * Are data ethics issues really just business ethics issues? Please listen to it! (More episodes coming soon!)…
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 history "identity theft" as a bullshit concept Google's corrupt bargain with the NHS what the medical code of ethics actually says polycentric ethics the difference between unethical and incompetent what good a code of ethics does when the "ethical" problems are emergent from the choices of many people that terrible article about the Seattle Nazi convention neuroticism the Joel test vgr's bad tweet Please listen to it.…
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 whether Chris would sexually harass a Nazi whether "magister" is a good woke replacement for "master" whether that Andrew Ng job posting is appropriate and whether any of us would apply for it killing your heroes having a day a week without social media treadmill desks Chris's next podcast and somehow Joel gets going on Harry Potter Please listen to it.…
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 say "data science" five times? And many, many, many more. Please listen to it.…
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 "objective" section on resumes, the right way to use LinkedIn, why Andrew doesn't think much of data science bootcamps, and why Joel can't convince any data science bootcamps to sponsor the podcast. Please listen to it.…
欢迎使用Player FM
Player FM正在网上搜索高质量的播客,以便您现在享受。它是最好的播客应用程序,适用于安卓、iPhone和网络。注册以跨设备同步订阅。