This article has a point: Yann LeCun’s comments wouldn’t be as controversial as it became now had he not been a Chief Scientist in @facebookai. My anticipation is that soon enough he will be asked to resign given the controversy he has contributed to. https://t.co/pumsz9xlp3
@joftius Are restaurants considered “public” too? Because you can’t eat anything if your face is covered in a restaurant. I see restaurants are open now in many places. Mandatory “social distancing “ may work but mandatory covering of face is much harder to implement.
ML systems are biased when data is biased.
This face upsampling system makes everyone look white because the network was pretrained on FlickFaceHQ, which mainly contains white people pics.
Train the *exact* same system on a dataset from Senegal, and everyone will look African.
Extrapolating the spectacular performance of GPT3 into the future suggests that the answer to life, the universe and everything is just 4.398 trillion parameters.
#MLOps and data engineering are two of the hottest topics in data science right now. What are a few of the more popular talks from ODSC East 2020? https://t.co/o5m0VYIBf7
1977: 6502 machine language.
1978: BASIC (on PDP11/70).
1979: FORTRAN & BASIC
1981: Pascal & FORTRAN
1983: Pascal, Prolog
1986: C
1987: Lisp & C (for many years)
2009: C++ & Lisp
2010: Lua & C/C++
2018: Python & C++
Still longing for Lisp, though....
It is sickening to see some large corporations are thinking of profit by all tricky means during COVID19 pandemic when people are going through difficult times losing their relatives and jobs. We as human need to think bigger and practice generosity. What happened to human race?
The new update of FOCI, our package for measuring conditional dependence and variable selection, is on CRAN and is much faster! Special thanks to Norm Matloff @matloff for his great guidance. For details of this new measure check out our paper with Sourav https://t.co/tYfhMGu9WE
@tableau (the software used for these #COVID19 plots) is now a mainstream data analysis tool. I remember X.Y Han loved it when used this software for analysis of deepnet. The power of this type of tool is apparent for huge datasets or when one wants to rapidly discover patterns.
@matloff Well, Norm, if the preachers really practiced what they preached, there would not be the “old saying” you referred to. This Stanford prof. Isn’t the first, he wouldn’t be the last! Just like the pandemic he is studying. 🤠 sometimes people just want a “cool “ article to cite! 😉
I have been corresponding with the authors of the well-known Santa Clara County COVID-19 preprint, and I am alarmed at their sloppy behavior. The confidence interval calculation in their preprint made demonstrable math errors - *not* just questionable methodological choices.