ÜBER DIESE EPISODE
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.
Englisch
Vereinigte Staaten
TRANSKRIPT 🔗
Are you the producer of this podcast?
Add a podcast transcript
Need Audio-to-Text?
Transcribe with Listen411 in Just 60 Seconds
VERGANGENE FOLGEN SUCHEN
Vorhandene Folgen von Adversarial Learning durchsuchen.
WEITERE EPISODEN IN DIESEM PODCAST
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 …
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…
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 Oat…
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 c…
Rechtliche Hinweise: Der auf dieser Seite eingebettete Podcast und das Bildmaterial stammen von Joel Grus, das Eigentum seines Eigentümers ist und nicht mit Listen Notes, Inc. verbunden ist oder von diesen unterstützt wird.
BEARBEITEN
Vielen Dank, dass Sie uns helfen, die Podcast-Datenbank auf dem neuesten Stand zu halten.
