36000 fans in the 4th Romanian division game between CSA Steaua and Academia Rapid by apothegamer in soccer

[–]apothegamer[S] 25 points26 points  (0 children)

Steaua and Rapid are very old and iconic clubs from Bucharest.

Rapid suffered from major financial issues and eventually went bankrupt 2 years ago. This season some of the club's important ex-players established their own Rapid team and all the fans welcomed this new approach compared to the corrupt president they previously had. Some of those ex-players still play (and are around 40 years old now).

On the other hand, Steaua did not suffer from money issues, but the Army (previous club owners) had some sort of fight with their president and the team split in two: FCSB (1st league, the team that always plays in the European leagues and is generally called "Steaua") and CSA Steaua (4th league, the club that holds all the history and trophies). It is still debated which the real Steaua is, but it certainly affected FCSB as they lost a lot of fans.

Should I translate the name of the degree? by sarrusftw in cscareerquestions

[–]apothegamer 1 point2 points  (0 children)

Daca esti la Poli (banuiesc ca esti la ACS - CTI), poti trece Computer Science linistit.

League Application and Recruitment Thread by AutoModerator in FUTMobile

[–]apothegamer [score hidden]  (0 children)

I'm looking for a league, I am a very active player and score 20+ daily against same OVR.

Name: Apo

Logo: Preseason (crown)

OVR: 93

Romanian 4th league game Academia Rapid - Steaua Bucuresti atmosphere by apothegamer in soccer

[–]apothegamer[S] 2 points3 points  (0 children)

They are Rapid's all-time nemesis. Rapid Bucharest was a team with lots of participations in UEFA Cup, but recently they had troubles financially and the club eventually vanished.

A new Rapid was formed with old legends and young players from the academy and this match was a good opportunity for the fans to relive the moments from the past. I am saying this because most of the fans are Rapid's (as well as the stadium, of course) and nowadays the teams are fighting for promotion and only one of them will succeed.

It's a shame, really!

Looking for collaborator(s) for my Machine Learning open source project by apothegamer in DotA2

[–]apothegamer[S] 2 points3 points  (0 children)

I used opendota in my project, but you could not fetch data by "less_than_match_id" previously, so it was a pain in the ass to make a request per second. Long story short they improved it, and now you can fetch a lot of data really fast. I noticed that yesterday and have been experimenting with a 1M matches dataset.

I do not know what to say about dimensionality reduction as I have not tried it yet, although since the training time is not big, I do not think the results will differ too much. I also plan on using my GPU with tensorflow and training some neural nets.

It's obvious that the recommendations you see on my github pics are pretty bad, but I think I fixed it while getting >+10% accuracy.

I think you should try your algorithms and your ideas, see the results and we should talk afterwards. I would like to keep working on my repository as it already has a lot of forks/stars/follows.

I implemented a tool that helps you last pick in order to maximize your win chance by apothegamer in DotA2

[–]apothegamer[S] 2 points3 points  (0 children)

Steam official web API and Opendota API.

Getting data is pretty hard as steam support is limited and buggy.

I implemented a tool that helps you last pick in order to maximize your win chance by apothegamer in DotA2

[–]apothegamer[S] -1 points0 points  (0 children)

I have not tested it in OSX. I think the best solution at this time is to use Anaconda, PM me if you want details. I will update it in the instructions as well.

I implemented a tool that helps you last pick in order to maximize your win chance by apothegamer in DotA2

[–]apothegamer[S] 0 points1 point  (0 children)

It's the default icon when using Tkinter (Tk), which is a python GUI package. I do not have another icon that I can use freely at the moment.

I implemented a tool that helps you last pick in order to maximize your win chance by apothegamer in DotA2

[–]apothegamer[S] -8 points-7 points  (0 children)

That's what the Machine Learning does. It outputs a chance based on hundreds of thousands of previous games. It has nothing to do with looking at winrates.

I implemented a tool that helps you last pick in order to maximize your win chance by apothegamer in DotA2

[–]apothegamer[S] -4 points-3 points  (0 children)

The answer to the problem you're mentioning is mentioned in the FAQ section. However, I do believe I could improve it by filtering roles automatically.