Skip to main content
22 events
when toggle format what by license comment
Jan 21, 2016 at 2:43 history protected Glen_b
Jan 21, 2016 at 0:27 comment added user101369 Machine learning is an interesting field, and a rewarding one also. PhD, with in the specified time would be good, however don't go for PhD only for the sake of showing others.
Jul 29, 2014 at 15:55 history tweeted twitter.com/#!/StackStats/status/494149207461482496
Jul 25, 2014 at 21:41 history edited Bill the Lizard CC BY-SA 3.0
made the title a question; minor punctuation improvements
Jul 25, 2014 at 13:56 comment added seanv507 I would add that ML is often a small part of any industry job. You have to have a thorough knowledge of the application area ( eg shopping trends/where do you get relevant data /etc - In particular for biostatistics I would guess you need to have medical degree). You might want to look at the Kaggle website where they organise competitions, and try to do them (and read winners reports). I think you'll find that most of the time standard algorithms win - but there is a lot of trial and error/ munging the data to get there - rather than advanced ML.
Jul 25, 2014 at 13:42 comment added seanv507 wrt Amazon jobs - I think most of the jobs go to post docs or junior professors. The options you have are online advertising, online shops (eg Zalando), I think a lot of car companies are now getting into the internet of things ( logging all their car engine data etc) and finally consulting companies ( doing the above/reports for the above companies).
Jul 25, 2014 at 11:41 answer added Marc Claesen timeline score: 9
Jul 25, 2014 at 10:16 answer added everydaypeople timeline score: 0
Jul 25, 2014 at 7:43 comment added Marc Claesen Sorry to say this, but the last reason you list for considering a PhD (vanity) is a terrible one. Make sure this is not your main driver or it will likely drive you into a wall.
Jul 25, 2014 at 1:36 comment added Simone I think you can also find related q&a here academia.stackexchange.com
Jul 25, 2014 at 1:15 answer added bmargulies timeline score: 2
Jul 24, 2014 at 20:20 review Close votes
Jul 25, 2014 at 0:55
Jul 24, 2014 at 18:11 answer added Franck Dernoncourt timeline score: 2
Jul 24, 2014 at 17:48 answer added user3624251 timeline score: 2
Jul 24, 2014 at 16:13 history made wiki Post Made Community Wiki by whuber
Jul 24, 2014 at 16:05 comment added Assad Ebrahim As you're thinking about industry, there are a few people / companies nearby who you might also consider tapping, one is SAF (Switzerland), now acquired by SAP. The Research Mathematician there is on this site... perhaps he'll introduce himself. ;) If not, feel free to contact me outside the forum and I can make the introduction. Booking.com (Amsterdam) is also hiring quite actively people with a background like yours, Masters or PhD, for some very interesting machine learning / data mining problems. Again, feel free to get in touch if interested.
Jul 24, 2014 at 16:02 comment added Assad Ebrahim There's a related question here Skills hard to find in machine learners, which got a number of answers that are relevant also here.
Jul 24, 2014 at 15:55 comment added EngrStudent "... and when everyone's a super, no one is" - Syndrome, in the Incredibles. (youtube.com/watch?v=A8I9pYCl9AQ) There is not enough fame to go around. If everyone has an equal share then there is not enough for the demand. It is an economic conundrum that requires you to either become truly different and exceptional, to become a predator, or to fail. "'Cause we all just wanna be big rockstars, And live in hilltop houses driving fifteen cars.." Media does not have the answer - it is also peopled with predators and fails. Exercise Caution.
Jul 24, 2014 at 15:15 answer added Zhubarb timeline score: 6
Jul 24, 2014 at 15:15 answer added TonyMorland timeline score: 23
Jul 24, 2014 at 14:20 history edited Jack Twain CC BY-SA 3.0
added 36 characters in body
Jul 24, 2014 at 14:14 history asked Jack Twain CC BY-SA 3.0