This is exactly right. It's like saying you solved chess because for each configuration of pieces on the board you can use machine learning to predict whether that position can be achieved with valid chess moves. With 90% accuracy.
738 karma · joined June 30, 2018
1) Ability to post anonymous comments 2) Instead of deleting a comment a user can choose to make it anonymous so that it is no longer associated with his/her account
Maybe "no tracking + no ads + no low-effort content + no clickbait + no paid content" club.
> Without consciousness you experience a single unified reality: your reality.
To me the word "experience" is what consciousness seems to be about. In that case without consciousness you can "step outside" and everything, but you would have no "internal experience" of any sort. i.e. be a "philosophical zombie" [1].
I fail to see why consciousness would be necessary for prediction. Any more context here?
1. The outcome of the election here is not a probability. It is the population value - the ratio of people voting for candidate X on the election date. It doesn't have to be repeated in the same way measurements of height for all people in United States would not have to be repeated, if instead of vote we were measuring heights.
2. Frequentist probability doesn't require to physically repeat things. It can reason about what would happen in the repeated sampling under certain conditions, and then draw inferences about those assumed conditions. With the election example: if you get a survey of 100 people with 70% voting for candidate "A" we don't need to repeat this survey in order to know the likelihood (frequency) of this result happening if the real proportion of people voting for candidate "A" across the US is 50%.
To me - this one sounds most plausible.
The title answers the question to some extent - I prefer Vim over IDEs because I am allergic to "auto-magic". Also, unlike most IDEs, Vim will still be there after 5 years, 10 years, or 15 years.
Same with European art. The prefix "European" would only be added when the author of the picture tries to contrast it with something else, or push some agenda about "European art". Otherwise it would just be under "art".
Case in point with another term: look at "American scientists" and "white American scientist". The second one will have more results of black people. This is again, in my opinion, because the addition of "white" is mainly added by those who concentrate and write about things related to race.
Another case in point - try looking for "thin woman" and observe how the proportion of pictures with obesity in them is bigger compared to searching for "woman" only.
> magnetars (highly magnetized neutron stars) are one possible source of the mysterious "fast radio burst" signals
Somewhat disagree. That particular research programme must still have reproducible experiment as a unit. A million irreproducible experiments will generate exactly zero knowledge.
Maybe someone here has an idea about possible copyright issues?
> If I were a boss of a company and saw one of my employees do this, I would seriously reconsider their employment. Purposely limiting yourself has no place in development.
If I was a boss of a company I would try to judge people based on some objective measure, rather than subjective opinions about how one should be doing things.
1. What you can't say.
2. Keep your identity small.
3. Life is short.
1. Try to learn what the world knows. I've read 2 books and close to 100 scientific papers ranging from 1980 up to 2020 about the condition. This helps placing the incident as a point along the timeline. You will see how people in the past coped with it, what are the most promising treatments today, and what is coming up around the corner. Also a lot of insights into what might have caused it and what changes can be made to slow it down. Also you will most likely see that the future is bright. The medicine is full of hot upcoming things. Training t-cells to fight cancer, selectively suppressing certain pathways to turn-off auto-immune responses, healing gut bacteria to get rid of sub-clinical infections, etc.
2. Find the best doctor who takes a personal interest in your case. You should be able to go to your doctor and discuss any new development, any changes you noticed, and get a reasonable advice back. The doctor will compare your case with other persons he/she is treating and will be able to give you a lot of advice, even some anecdotal wisdom.
3. In addition to your local doctor, try identifying the leading figures that are investigating the disease across the globe. They typically attend conferences which you can find online, or write blogs on some website, or other things like that. They will also respond to emails, especially after seeing that you did your homework and know about their work.
4. If the disease is manageable - do what you can to stay healthy. Eat healthier, sleep healthier, avoid stress and excess pollution. Most diseases have some individual-specific corners to them. In this case experiment until you find what works for you.
5. For personal peace of mind, think about the big picture. Do not compare yourself with others. Rather think about what you are able to achieve for this world compared with the case of not being born at all. You will find that it is substantially better, for the world and humanity, for you to be born with the condition, than to loose you. Concentrate on that and do your part, do what you want, do what you can.
In the end I think that onset of some illness might be a hidden blessing. Someone might be healthy all life, seek pleasures too much, and waste a lot of it on hedonism. A durable yet uncomfortable disease can provide direction and a boost in motivation. And if the disease can be managed by a healthy lifestyle, chances are, you will turn out to be healthier than the average person on the street.
Multimarkdown syntax definition manages to be conservative with respect to original markdown and at the same time provide several needed updates, like image attributes, references within document, footnotes, complex tables, etc. All done in a style that fits original markdown quite naturally.
The program itself does everything well - reads from stdin or file, prints to stdout, very fast, reliable, doesn't have a hundred flags.
> Vim is a highly customizable text editor geared towards writing code. But open-ended configuration possibilities often lure users into wasting time while chasing after perceived minute gains in productivity. This article describes my Vim journey, starting from heavy personal customization and ending with a renewed love for defaults.
One can read it, take the message, and move on.
However if another reader wants details, it's hard to know upfront what kinds of details he/she will care about. Hence, based on the premises in the summary, the article expands on: 1) the ways in which Vim can be over-configured; 2) some examples demonstrating the possibilities of changing default behaviour; 3) the benefits of scaling configuration down; 4) Summary and additional notes.
You might only care about one or few of those. However this, I feel, is where you would have to selectively skip some sections, based on your own judgement.
In the past new phones used to mean some kind of additional function: either colors, or mp3 support, or bluetooth. Now it's faster CPU and more pixels in your camera. After you sync stuff from your old phone you don't even notice any difference.
> This is hopefully one of the most educated and forward looking places online.
If a person would think this remark about executive order was made as a threat, or that it has a real possibility of passing, or even if the current president is serious about acting on it, I would subconsciously exclude that person from the "one of the most educated" group.
Noticing hypotheticals. I think this is similar to being paranoid about possible bugs in your code. In the same vein when you do statistics and obtain some result (i.e. something between group A and group B is different by x%) you start automatically imagining scenarios that could have caused this result as a false-positive. Maybe the groups were somehow imbalanced, maybe the methodology used did something differently for both of those groups, maybe there was a sampling bias.
> As a careered data scientist, what separates industry practice from academia? What project, or task helped you realize this?
In industry your result is typically subservient to some other purpose (i.e. making decisions, increasing sales, reducing costs, predicting customer loyalty). In academia the result is typically at the forefront (i.e. an observation worth writing a paper about)
> Did you wear rose color glasses before practicing in your field? What cleared them?
No, I started working with statistics before the term "data scientist" became popular. I did have some hopes after the articles with "statistics will be the sexiest job of the 21st century" appeared. But it quickly waned. The hype brought a lot of noise to the field and the focus shifted from what (in my opinion) is most important - working with open eyes. Today a lot of "data scientists" don't have fundamentals in statistics, use methods they don't understand, focus on secondary things like programming languages and tools, and think of themselves as having an "imposter's syndrome".
(this part turned out to be quite ranty but I want to leave it like that).
> What is the monotony or grunge work of a data scientist?
Staring at a computer. Preparing the data, cleaning the data, combining the data, looking for more data, presenting your results.
> What is the kind of work that makes it all worth it?
Getting insights and intuitions that other people don't have. Being the first to discover something novel, interesting, or valuable. Reflecting back on what you do in a more general way, i.e. asking questions "what it means to know something", "can data really speak for itself", "does every kind of analysis require having some initial assumptions". And if you are good then you can get to work in a variety of different areas, from predicting the results of an election, to analysing 3d scans of brain patterns in schizophrenia.
> What other questions should be seeking answers that would help me understand what life as a data scientist is really like?
Talk is cheap. If I were you I would try to experience it myself. Volunteer somewhere or start participating in some open competition (like maybe Kaggle) and see how your day will look like.