Ppp Posted February 16, 2009 Posted February 16, 2009 Hi all, I got in MIT and Berkeley (in AI). There are a few things to think about; but I am not sure which school would be a better choice for me. Berkeley: good weather, one of the most famous professor in the field I want to work (senior). Also, probably it is more laid-back and collaboration compared to MIT, because it is at west coast (ppl told me so) MIT: crappy weather, several well-known professors in the field I want to work (both junior and senior). More competitive environment (east coast). In general, got bigger AI department than Berkeley. My goal is to stay in academia at this point; and I am not sure how each school is doing for this matter. Almost everything is equivalent between two schools; but the major difference is coming from: weather (favor to Berkeley), marginal difference in profs' reputation (favor to Berkeley), work environment (not sure but favor to Berkeley), and maybe school reputation in general (favor to MIT) Let me know your opinions and thank you very much in advance! Also, good luck for all of your applications!!
leogk Posted February 16, 2009 Posted February 16, 2009 I don't see see any difference in reputation of two schools. Both of them are the best. No question about it... If I were you, I would look into your potential advisors... Every professor has his/her own sub-fields from a micro viewpoint (such as general approaches, applications, relations to other schools/industry etc.) even they are in the same research society. You need to check which would be better fit to you. Also, chemistry is a really important factor.
bernard Posted February 16, 2009 Posted February 16, 2009 Pick Berkeley. I am not sure you'll be laid back at Berkeley. In either place, you will be expected to work very hard! Just look at the influence of Berkeley in CS undergrad curriculum right now. In algorithm, we are using Christo's textbook. In AI, we are using Stuart Russell's textbook. That tells me a lot about the strength of Berkeley in CS. In fact, I don't want to start a war here. I think it is probably even better than Stanford's CS.
tedjj Posted February 16, 2009 Posted February 16, 2009 visit both schools and decide for yourself:) I believe both of them have weekend events
Ppp Posted February 16, 2009 Author Posted February 16, 2009 visit both schools and decide for yourself:) I believe both of them have weekend events Sure. I am wondering under the assumption that I will have similar impressions on both schools (and I have been to both schools several times).
tedjj Posted February 16, 2009 Posted February 16, 2009 Oh Hopefully you will like one of them more:P
leogk Posted February 16, 2009 Posted February 16, 2009 By the way, if your future goal is professorship in academia, you'd better check what happened to the alumni of the groups (especially, most recent three or four people) and how many awards they've won in top conferences.
alice Posted February 16, 2009 Posted February 16, 2009 Isn't MIT the big AI school? Also I thought CMU is better for AI than Berkeley - certainly if you want to do game theory or computational learning!
Ppp Posted February 16, 2009 Author Posted February 16, 2009 By the way, if your future goal is professorship in academia, you'd better check what happened to the alumni of the groups (especially, most recent three or four people) and how many awards they've won in top conferences. Does "school" or "field" matter; or does only group matter?
bernard Posted February 17, 2009 Posted February 17, 2009 Ultimately what matters is how many high-quality publications you have if you intend to stay in academia. So you want a supervisor who is pretty active in research. In terms of school, MIT and Berkeley are about equal, but Berkeley has a slight edge.
bernard Posted February 17, 2009 Posted February 17, 2009 I think both are good. But since I've been living in the east coast for a long time and I long for pleasant weather, I prefer Berkeley for a change. Unfortunately, I did not get into Berkeley, so I can only keep dreaming... For algorithm and theories, no question, Berkeley is the best, especially because Richard Karp, who used to be in University of Washington, is now at Berkeley. Also Christo Papadimitriou is there. Those people discovered many of the NP-hard problems! For AI, I am not sure about it. AI is pretty broad, depends on what area. If you are in machine learning, Berkeley is good since they have strong theory and statistics people there. For robotics, maybe CMU and MIT are better because they have invested more money in this area. Someone can correct me here...
fanta Posted February 17, 2009 Posted February 17, 2009 How about for Computer Vision or Machine Learning? Anyone?
tedjj Posted February 17, 2009 Posted February 17, 2009 as for cv - go to website of iccv or cvpr - look at who is organizing - then go to their website:) IMHO I think CMU is #1 (Kanade and others)
leogk Posted February 17, 2009 Posted February 17, 2009 How about for Computer Vision or Machine Learning? Anyone? For Machine Learning, I would go for CMU. I know Berkeley and Stanford have extremely famous ML guys there. But CMU has a much bigger program and faculties, so it would be a safer choice. What if you go for Berkeley but MJ hires another guy or has no openings? And the job score of last-year CMU PhD graduates in academia was pretty good - one Stanford, one Caltech, and one GATech assistant prof... For Computer Vision, it would be a really hard decision. Top 4 except Stanford are almost equal, but the prof in Berkeley is slightly more famous in the society, in my opinion...... But post-docs of MIT in previous several years have been extremely good. (Many of them now become professors.)
tedjj Posted February 17, 2009 Posted February 17, 2009 For Machine Learning, I would go for CMU. I know Berkeley and Stanford have extremely famous ML guys there. But CMU has a much bigger program and faculties, so it would be a safer choice. What if you go for Berkeley but MJ hires another guy or has no openings? And the job score of last-year CMU PhD graduates in academia was pretty good - one Stanford, one Caltech, and one GATech assistant prof... For Computer Vision, it would be a really hard decision. Top 4 except Stanford are almost equal, but the prof in Berkeley is slightly more famous in the society, in my opinion...... But post-docs of MIT in previous several years have been extremely good. (Many of them now become professors.) I thought Kanade is the most famous in CV. Which prof from Berkeley did you mean?
fanta Posted February 17, 2009 Posted February 17, 2009 I thought Kanade is the most famous in CV. Which prof from Berkeley did you mean? Probably he meant Professor Jitendra Malik. Kanade is famous, but I think he almost retired or did already.
fanta Posted February 17, 2009 Posted February 17, 2009 For Machine Learning, I would go for CMU. I know Berkeley and Stanford have extremely famous ML guys there. But CMU has a much bigger program and faculties, so it would be a safer choice. What if you go for Berkeley but MJ hires another guy or has no openings? And the job score of last-year CMU PhD graduates in academia was pretty good - one Stanford, one Caltech, and one GATech assistant prof... For Computer Vision, it would be a really hard decision. Top 4 except Stanford are almost equal, but the prof in Berkeley is slightly more famous in the society, in my opinion...... But post-docs of MIT in previous several years have been extremely good. (Many of them now become professors.) Is there any ML profs in MIT, any well-known ones? I thought Berkeley might be a good choice because of MJ and Jitendra Malik; but how about MIT? I know there are Antonio Torralba and Bill Freeman, but how about ML? I am also trying to decide between Berkeley, CMU, and MIT.
bernard Posted February 17, 2009 Posted February 17, 2009 A list of big guys that I read about: Database: Ullman (Stanford) Machine Learning: Mitchell (CMU), Moore (CMU), Jordan(Berkeley) Bioinformatics: Pevner (UCSD), Haussler (UCSC), Tidor(MIT), Berger(MIT), Gerstein(Yale) Operating Systems: Silberchatz(Yale) Algorithm: Knuth (Stanford), Karp (Berkeley), Papadimitriou (Berkeley) Computational linguistics: Fillmore(Berkeley), Hirst(Toronto) (My area is bioinformatics, that's why its list is very long). liyu 1
leogk Posted February 17, 2009 Posted February 17, 2009 I guess Tommi Jaakkola is one of famous profs at MIT. But I think ML of MIT is not that strong compared to the other Top4.... The professors bernard listed out is quite accurate, but it may be a little bit outdated. Some of them are now seniors and have some duties in the organizations, so maybe not that active in research now...
bernard Posted February 18, 2009 Posted February 18, 2009 True, leogk. Some of the professors I listed are not active in research: some shift attention to writing books now (Knuth, for example). Some are emeritus professors. But regardless whether they take students or not, their names tell us what area the school is good in. Likely there will be younger profs who are working in the same area. Seriously, a large percentage of graduates from Berkeley CS later got professorship at top schools. The school name is already enough a reason to go there.
Ppp Posted February 18, 2009 Author Posted February 18, 2009 True, leogk. Some of the professors I listed are not active in research: some shift attention to writing books now (Knuth, for example). Some are emeritus professors. But regardless whether they take students or not, their names tell us what area the school is good in. Likely there will be younger profs who are working in the same area. Seriously, a large percentage of graduates from Berkeley CS later got professorship at top schools. The school name is already enough a reason to go there. How about MIT? Don't MIT graduates stay in academia (as many as Berkeley)? I am trying to persuade myself for MIT, but many people (on this thread) say Berkeley is a better choice. Am I right? Thanks for answering my question!
alice Posted February 18, 2009 Posted February 18, 2009 I just submitted a paper to IJCAI/AAAI 2009. If you look at the program committee (http://ijcai-09.org/program_committee.html), there are 3 people from CMU, 3 from MIT, and no-one from Berkeley. I know it's not a perfect argument, but go MIT! =)
bernard Posted February 18, 2009 Posted February 18, 2009 alice, I see a strong Canadian presence on the conference link you provided. Even the chair is from University of Toronto. So go to U of T. If anyone is in bioinformatics, have a look at speakers list at this link: http://casb.calit2.net/bioed/.
alice Posted February 18, 2009 Posted February 18, 2009 There are 3 from Toronto. So it's a fair number
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