Adversarial Learning
@joelgrus and @akm talk about data, science, data science, Shingy, and whatever else they feel like
Episodes
It's been a couple of years, so Joel and Andrew catch up on what's new in life and in data science.
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.
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 ...
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...
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 P...
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 inco...
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 appl...
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 gone on a terrible interview, listen and live vicariously.
Halfway through, Andrew's Internet flakes out and his part stops getting recorded. Thanks to the magic of editing, you'll hard...
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 offer data science types?
Curtis and Galen try to explain what Urbit is and answer Joel's objections, while Andrew keeps trying to tie everything back to ham radio.
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 and Andrew don't like Jupyter-style notebooks, Voltron, and how to talk to your kid about "normies".
Please listen to 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 patterns (LinkedIn and otherwise),
and why none of us was savvy enough to start a social network for data people
and raise $19M.
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 Joel hates the xkcd cartoon
- free speech in Canada (which Joel gets very wrong, please don't @ me)
- how one (or one's bot) gets banned from twitter
- Joel getting a phone call from his kid's school
- #Ya...
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