3,109 karma · joined April 23, 2011
Let's just not forget about the positives here: there is a company that openly uses term "A.I." and raised a lot of money. Am I the only one here waiting for the AI Winter to be over [1]? Maybe it's not the best A.I., yet, but they got the funding. Personally, I think that's great and I hope for others to come out of the closet.
If this is something that interests people, then it will be worth the time to automate this process. I suspect that there are blog entries, twitts, facebook updates that already answer these questions. Now we have to mine them. "Gold standard" set of Q/A would make it easier.
EDIT: But I hope there will be a way of getting Q/A in a bulk, right? Thanks
NOTE TO SELF: This could be a data mining or text mining web app. Check if the interest grows in time.
Ed why can't you have your own company? Why can't you be the one who is hiring or at least teach others how to hire. I bet you can smell a talent from 1000 miles away - even if someone did not finish a good school; the world of software engineering would make so much more sense.
[EDIT:] I imagine a job interview; an interviewee says: "I didn't program this but I did program something more difficult"; interviewer makes a frowny face; Ed comes round the corner, puts his hand on the interviewer shoulder and says: "He did not call you stupid; he just said he is ready for the challenge - he has the experience".
Also it's a very difficult field of science. Now you need to be proficient in AI, machine learning, computational linguistics, linguistic corpora research, cognitive sciences, statistics, and sometimes physics if the text changes over time. Of course, you also need to be a good programmer. This combination of skills is very rare. Thus, very slow progress.
I suggest to start with well defined practical problems. For example, no one seems to do much with user generated reviews. There is some sentiment analysis but that is just a binary text categorization problem - not even close to general purpose AI.
It would be much more interesting to show a seller a time ordered stream of clustered reviews that depict only the most representative review for each cluster. This way a seller can see how his/her fixes/changes impact user reviews. Also it would be a great source for features and bug fixes requests. This is an ideal testing bed for clustering, novelty detection, categorization and mild inference. The inference is required because of sparseness of data.
This would create a good data set for a more general purpose AI. We would have reviews and text documenting changes and improvements of a new version of a product. Now the computer could start learning the dialog between users and product developers. Then, we are just one more step from statistical inference based question-answering system. Not a brute force system like "Watson" or a hand crafted rule base system like "Siri".
[EDIT:] I was thinking more about a decision support system that can recommend product changes. But in a way that maximizes customer satisfaction and minimizes the cost of implementation. The dialogue between past changes and customer reaction would give us the surface that needs to be optimized. This would generalize well to other domains where there is a text for request and a text for response - just to name one: clinical text in healthcare (position 5 in the RFS).
Once the limitation is lifted the system has to deal with non-monotonic reasoning (http://en.wikipedia.org/wiki/Non-monotonic_logic) and that leads to multiple inheritance problem (http://en.wikipedia.org/wiki/Multiple_inheritance). Unfortunately, the multiple inheritance problem has, so far, only NP-hard solutions (http://ijcai.org/Past%20Proceedings/IJCAI-89-VOL-2/PDF/047.p...). [EDIT: think of a command "eggs are in a fridge"; to find eggs in a fridge you need to know that they are inside a container; you need to know its shape and how to open it; if your software knows that and inherits this knowledge each time when asked for eggs, then it will brake when the eggs are not in the box.]
We are in need of software that deals with large networks of human knowledge. Then we can take SHRDLU to the next level. Otherwise we are stuck with Will Smith movie (http://www.imdb.com/title/tt0343818/).
[EDIT2: there are many theoretical "suggestions" but very little software or practical internet applications]
Stress burns the mind in the same way as physical activity burns the muscle. At some point you need to give your mind a rest. I suggest this book:
http://www.amazon.com/Full-Catastrophe-Living-Wisdom-Illness...
or this one:
http://www.amazon.com/Wherever-You-Go-There-Are/dp/140130778...
This should help you keep your strengths intact regardless of your current situations ... who is to say that next endeavor will be better than the previous one.
Here is an online grief support group:
http://www.onlinegriefsupport.com/
Here is a phone number to a grief counseling group for those in US:
1-800-260-0094
Here is online suicide support group:
http://www.suicidepreventionlifeline.org/GetHelp/LifelineCha...
Here is a suicide prevention lifeline for those in US:
1-800-273-8255
[EDIT: suicide is a very complex disease that is far from being understood. I'm sure that prof. Yoshiki Sasai had to deal with much, much more than just two retracted articles.]
https://github.com/entaroadun/hnpickup/wiki/Hacker-News-Pick...
Here are multiple screen shots of the google web traffic analytics interface:
http://hnpickup.appspot.com/hnpickup_web_app_statistics_snap...
I noticed that by talking with the domain experts, for example radiologists that read head MRIs, you can greatly simplify the problem. It usually comes at the cost of experts annotating the data, which might be too expensive for some businesses. But then, I think, the data is analyzed just by scholars until they built-in the expert knowledge into their algorithms.
That's at least the pattern in healthcare data. The first one to notice a paper or source code like that dominates the market - this is just my conjecture.
I know that there are couple startups that got seed money for "annotating the web". For example "Rap Genius".
https://ddnhehdam2vn0.cloudfront.net/malaysiaair2014_02/18/2...
https://ddnhehdam2vn0.cloudfront.net/malaysiaair2014_02/12/3...
but most of the numbers return 403. Above links roughly match upper left and lower right corner.
If you need help with your data just email me.
Note to self: data mining web app, it seems to use simple a similarity measure, same idea can be used for recommendation engine [Twitter + Facebook + Pinterest, etc ... to get good vector representation for each person, then clustering (probably non-convex variable density or not), and assigning recommended items from a cluster to all people in that cluster]) - product recommendation is not much different than dating
http://www.amazon.com/gp/offer-listing/1600490069/
Is this an error?
https://www.i2b2.org/NLP/DataSets/Main.php
De-identification of medical charts is a bottleneck in clinical research. It's impractical to ask for thousands consent forms, however, smaller sample sizes are inconclusive, so much, that most of medicine is driven by inconclusive research findings. Moreover, full anonymization does not allow to follow patient records over time. This will kill any big patient outcome study, at least financially. What are your thoughts?
http://hnpickup.appspot.com/hnpickup_ratio_visual_analysis.p...
More to come. Probably, this week I will get around publishing something on the "karma growth effect".
BTW, I've sent an email to "help@leanpub.com" about latex math support. So far I haven't heard back.
http://news.ycombinator.com/item?id=2329397
Getting Mr Braithwaite to publish at Leanpub.com is also a sign of success.
http://www.yasiv.com/amazon#/Search?q=data%20mining&cate...
Both youtube and amazon visualization show very nice clustering. In case of technical books they cluster into, e.g., beginners, intermediate, advanced book groupings. It's impossible to notice that without the graph visualization.
H.R.3427 - Startup Technical Assistance for Reemployment
Training and Unemployment Prevention Act
H.R.3571 - Entrepreneur Startup Growth Act of 2011
S.1965 - Startup Act of 2011
S.1826 - Startup Technical Assistance for Reemployment
Training and Unemployment Prevention Act
H.R.2941 - Startup Expansion and Investment Act
H.R.1114 - StartUp Visa Act of 2011
S.565 - StartUp Visa Act of 2011
We need a web service that is more robust than http://www.opencongress.org/ . We need a web service that has proper data mining, visualization, and notification system. The big guys have their lawyers - we need a proper web service. Who can help to build that?I would like to know if YC has data mining/analytics specialist that reviews YC applications and helps people.
This is so impossible!
You have a great product for 1-10 general doctor practices. You should focus on that and just that. If you feel like you have a lot of free time on your hands try knocking on 1-5 pain management doctors clinic. See how you do there. If you manage to customize their workflows and menus for pain management, move to 1-5 MDs obesity clinics, and so on. I suspect that after single pain management clinic you get burned out.
Have you ever looked at UMLS http://www.nlm.nih.gov/research/umls/ ? It has 2,612,024 mln medical concepts and counting. Many diseases are still poorly covered. Any time you talk with a specialist in a hospital he/she will need those terms in their documentation. Every disease has different workflow and different vocabulary. If a hospital thinks about adopting a new EMR, they will send ~100 their own IT people to EPIC/GE HQ to have them trained how to configure their system. Then, those ~100 IT people will work with ~1000 MD to have progress notes, flowsheets, and what have you configured to everyones liking. This is SO MUCH work and huge investment that has to have 0.0001% risk for the hospital and for the patients. Keep in mind that if patient dies and there are lacks in documentations someone will have to pay ... a lot.
I'm sure that some day you will have ~1k engineers and ~2k support team, each encumbered with basic medical knowledge and patient workflows. But then you will notice that healthcare can be changed only top-down not ground-up.
Is the project actively developed?
Yes but no new features. Just docs improvements. Are there more people developing?
That would be nice but not necessary. Educational material shouldn't need a large codebase. Are there releases?
There should be no new major release for an educational material. We want new people to be able to get up to speed quickly. Are there docs?
Educational material should have very thorough documentation. I'd say there should be 0.5 ratio of comments and code. Methods
Code should be simple - even if it has to do complicated operations. There should be no advanced idioms (at least no language specific idioms).[EDIT:] Or maybe you could make a prediction challenge using the YC application data? You could host the challenge on http://www.kaggle.com/ or http://tunedit.org
Note to self: There is actually a very sparse body of literature that talks about data driven approach to VC, e.g., http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=4621..., this one seems interesting (predicting exits): http://www.springerlink.com/content/w024ku34221u3258/
I wanted to ask, though, did you know that "upvote" and "save a story for later" means same thing on HN? What was the reason for adding "star" button in your app? Couldn't you use this instead http://news.ycombinator.com/saved?id=marketer and have just the "upvote" button?