kadder

This is very similar to the paper http://www.isi.edu/~szekely/contents/papers/2012/szekely2012...

As per the paper , you can choose arbitrary distributions , construct a fluent graph , run Monte Carlo simulation and get the result - |via http://bit.ly/hnbuzz01 |

Once I fix the iOS client I will try working on the android client ( need to learning android programming for that ) . This was my first stab at a project using objective c . For now I will be closing the Beta , but thanks everyone for signing up , appreciate the feedback . Have fixed a lot of issues , added new features , will be launching soon on the AppStore - |via http://bit.ly/hnbuzz01 |

Have fixed a lot of the issues, will be launching soon in the app store - |via http://bit.ly/hnbuzz01|

Thanks will look into the font . Using Hacker news api to fetch everything , but they do not support batch mode , so have to make multiple Api calls , I think scraping would have been faster . Will add support for my threads view

Appreciate the feedback , I will work on fixing some of these issues . Some of things were made specific based on user feedback but you have raised some valid points

Which part you didn't like ? Have you installed and tried the app ? Any suggestions as to how I can improve the landing page or the app UI ?

It's more complicated than what you are saying , what you witnessed is generally called behavioral targeting which is user specific generally . Sponsored search generally is a solution which shows ads which have your keywords in it . Behavioral targeting ideally should show you stuff you might interested in buying or buy on a regular basis , if it's showing stuff that you already bought , it probably indicates a stale feedback loop between two systems

About time

Really awesome explanation

Interesting article

its probably another efficient library, but its good to have another baseline to compare things

nice app, did you use any UI libraries that you found useful while building the app , esp for the flat UI and calendar ?

You should practice on some toy problems. Get some KDD / kaggle data sets. Try to work on them. The advantage from these 2 sites is that they already have a solution published. You can always refer to the solution for help. Remember there is no right or wrong answer. Just a more accurate answer.

Try applying it some of the problems you want to solve. Mostly be patient. Unlike conventional programming, machine learning is non deterministic and can take some time to become a little comfortable

interesting , wonder how quickly will sites like HN, reddit jump on the bandwagon. Will be interesting to compare the experience to native push notifications

These are pretty good courses, with nice links to good papers/assignments.

http://ocw.mit.edu/courses/electrical-engineering-and-comput...

http://db.cs.berkeley.edu/cs286sp07/

http://www.stanford.edu/class/cs245/notes.htm

http://redbook.cs.berkeley.edu/redbook3/index.html

Check out: (CS194-24) Advanced Operating Systems Structures and Implementation

http://www.cs.berkeley.edu/~kubitron/courses/cs194-24-S13/

Its pretty cool. Unfortunately the Linux VM used for development does not exist any more. But Still cool.

I would say join the industry, start your company, work on some cool stuff. Figure out if you would like to try your hand at research. If yes, apply to a masters program.

If you have the patience, time and the skill needed to comprehend advanced research papers or the time to learn more about machine learning / advanced graphics / distributed systems / compiler optimization and other cool stuff, don't join a Masters Program. If no, may be consider joining a Masters program, you'll not regret <-- but do this only after you have worked for a few years.

nice n simple UI. But i cant post a deal i found somewhere ? or create my own deal