Yes, people probably don't make this exact query in good faith very often, but it raises significant concerns for other queries where google tries to supply an answer.
See for example: https://gizmodo.com/googles-algorithm-is-lying-to-you-about-...
99 karma · joined November 25, 2019
Yes, people probably don't make this exact query in good faith very often, but it raises significant concerns for other queries where google tries to supply an answer.
See for example: https://gizmodo.com/googles-algorithm-is-lying-to-you-about-...
> "The typical mask you buy in the drug store is not really effective in keeping out virus, which is small enough to pass through material. It might, however, provide some slight benefit in keep out gross droplets if someone coughs or sneezes on you."
> He added: "I do not recommend that you wear a mask, particularly since you are going to a very low risk location."
> Fauci has previously been criticized for changing his position on masks. Early on in the pandemic, he advised against wearing face coverings, but that advice evolved over time.
[1] https://www.msn.com/en-us/news/us/fauci-said-masks-not-reall...
Remote: yes
Willing to relocate: to Boston area
Technologies: Java, Python, Pandas, R
Résumé/CV: <https://www.linkedin.com/in/william-devanny-80195b34/> or pdf version via email
Email: williamdevanny@gmail.com
Computer science lecturer interested in transitioning to industry. Very interested in opportunities involving graphs/network analysis, data science, and/or ed tech.
My understanding is that even looking at a histogram of the mileages should have raised serious doubts about the data.
> Take two copies of K_4. Connect them with a single edge. The minimum cut is the single connector edge while your proposed strategy would delete the three edges out of one of the vertices not incident to the connector edge.
Shouldn't choosing to raise a family account for the experience gap? Yes, this is an example of one way that we've structured society so that women tend to have fewer career opportunities. IMO, there is not a good reason men (as a demographic) shouldn't be spending an equal amount of time raising children.
I'm not sure if you are accusing the Stanford doctors in the article of bad stats or those arguing against the doctors in the article.
IMO machine learning algorithms are brittle and prone to breaking in unexpected ways. In the past, organizations who should have known better and should have been smart enough have produced bad machine learning systems. Policing is a highly sensitive area. It's okay to be very concerned.
[0] https://chess.stackexchange.com/questions/2550/whats-the-ave...
The article intends normal number, not normal distribution.
>This "racial bias" is composed of data collected from crime statistics.
They disagree that crime statistics are reflective of where crime occurs. They are more reflective of where police officers are and where crimes are most easily spotted. For example, the racial disparities in policing crack cocaine versus powder cocaine.
Predictive systems that read in biased data will produce biased data.
The answer here depends a lot on what the hypothetical regulation would be.
Does anyone know how many consumer oriented startups reach 30 million customers?
I am also skeptical you could find appropriate trivial changes to request. Students, and particularly beginner students, may write very unconventional code that may not be as easily modified as a well-thought-out solution.
Saying "your analysis is bad and wrong." comes off as dismissive and I think you should read the HN Guidelines.
I wonder if solving the LP-relaxation might lead to a rounding based approach.
I 100% agree and I think the educators I've spoken to (several friends are teachers) would also broadly agree, but that's not what the post advocates.
My understanding of your reply is that your school had many of these elements, but they weren't quality or weren't emphasized appropriately to students which is fundamentally different from the post's view that these things didn't occur.
I had multiple teachers discuss note taking habits, using a planner, how to approach reading a book, using mnemonics, and using the internet for research projects.
I had a health class that discussed good eating and exercise habits.
I remember being encouraged to find an after school club/activity and a day where career counselors came to class.
We had multiple arts and gym classes.
I remember a section of an English course where we covered professional skills such as public speaking and drafting emails.
Many of my classes required group projects.
I had multiple science classes that covered evolution and the cell.
Nearly everyone of the author's bullet points raised my eyebrows and left me wondering what their science/health/gym/English classes covered. I think the author fails to realize how much of what they want is already incorporated.
Edit: Corrected punctuation.