RIP correlation. Introducing the Predictive Power Score by Florian Wetschoreck in @TDataScience https://t.co/zP42dJtCfq
— Bojan Tunguz (@tunguz) May 4, 2020
RIP correlation. Introducing the Predictive Power Score by Florian Wetschoreck in @TDataScience https://t.co/zP42dJtCfq
— Bojan Tunguz (@tunguz) May 4, 2020
Let's say 1 person who's convinced of misinformation, on average, convinces 3 others. This means R0 = 3.
— Nicky Case (@ncasenmare) May 4, 2020
But! If you teach just 67% of people basic epidemiology/statistics, you can get R < 1, containing the info-demic!
This is called "nerd immunity"
"My First Year as a Freelance AI Engineer" https://t.co/uU2MeLVskC fun read
— Andrej Karpathy (@karpathy) May 2, 2020
Example of swarm intelligence
— hardmaru (@hardmaru) May 2, 2020
Agents follow very simple rules, and there is no centralized control structure dictating how individuals should behave.
Local interactions between such agents lead to the emergence of “intelligent” global behavior, unknown to the individual agents. https://t.co/GXPHe5TjLo
It’s just a matter of time before we see “The AI Economist adversary: Using RL to find optimal tax evasion policies”
— Denny Britz (@dennybritz) May 1, 2020
Junior Data Scientist: I built a model!
— The Ski is Polish which is basically Russia (@EmilyGorcenski) April 29, 2020
Senior Data Scientist: And I tuned it!
Lead Data Scientist, from a dark corner, obscured by cigarette smoke, leaning forward partially into the light: Too bad it’s built on a stack of lies and broken promises
Today we shared some details about how we organize data scientists at @Lyft. We recently changed titles to better reflect two main types of work we see: improving decisions made directly by humans, or improving algorithms that power automated decisions. https://t.co/QC6WMB1yBn
— Sean J. Taylor (@seanjtaylor) April 27, 2020
Geoff Hinton's response to Schmidhuber's critique on r/ML https://t.co/kUIznzbRBh https://t.co/joNcuzJnFk pic.twitter.com/3HWbfT5T9F
— hardmaru (@hardmaru) April 23, 2020
Datasets over Algorithms. Creating good benchmarks and datasets is critical for the advancement of #AI. Thanks ImageNet, WSJ, ALE, PTB, GLUE, WMT, etc.!
— Oriol Vinyals (@OriolVinyalsML) April 22, 2020
(Old) Source: https://t.co/fjOEKHrh9y pic.twitter.com/XyS6i0FmbT
Work correspondence in 2002:
— Danielle Navarro (@djnavarro) April 21, 2020
Work correspondence in 2020:
- the other email
- slack
- github
- the other 10 slacks
- teams for some reason
- another email address I forgot about
- youtube
Still waiting for my boss to tiktok me
Really love the color-coding! Thinking about adopting this idea for my papers as well! https://t.co/zaFfWyAJyk pic.twitter.com/J7VfJO3HDT
— Sebastian Raschka (@rasbt) April 20, 2020
A logistic function has 3 free parameters, so in theory one can fit the curve from observing 3 data points. However, @clcrozier shows that when you are fitting points in the exponential / linear regime, it's still hard to fit it correctly! https://t.co/v4Uz4cNY6g
— Eric Jang 🇺🇸🇹🇼 (@ericjang11) April 19, 2020