4th Japan.R meeting on December, 6

December 9, 2014
By

(This article was first published on My Life as a Mock Quant in English, and kindly contributed to R-bloggers)

We had an exciting meeting “Japan.R” with many talks on last Saturday.
(I should have made an advance notice.)

(This is the picture of our venue. Thanks FreakOut!!!)

We are so pleased that many participants(over 200!!!) enjoyed the talks and have a great relationship each other in pizza party.

The following link is the website for participants.

You can find the time table of Japan.R in the above web site:

13:00~13:30 Reception
13:30~13:45 Opening Talk @gepuro, @0kayu
13:45~14:15 Easy to create a choropleth map with choroplethr package @AriLamstein
14:15~14:45 Data science ecosystem:Approach in Opt data science lab @shsaix
14:45~15:00 Break
15:00~15:30 Compare Deep Learning with the other classifiers with R @TJO_datasci
15:30~16:00 Machine Learning @ FreakOut (仮) @yanaoki
16:00~16:15 Break
16:15~17:15 Language discussion(R, SAS, python, Julia, Excel(not language…))
17:15~17:30 Break
17:30~18:30 Lightning Talk festivals
18:30~20:00 Pizza party

One of the greatest point is that we invited @Arilamstein who developed choroplethr package and he gave his talk!!! Thanks @Arilamstein!!!

You can also find the workshops reports of Japan.R in the following links:
The second link is very useful because you can see the presentation slide uploaded online.

The next Japan.R meeting will be hold next year and I will release advance notice next time.
Needless to say, everyone is welcome to join!

We are not sure that there are a lot of guys who want to join but can not read Japanese.
If you so, please let me know.
we will write English version agendas and info for next meeting.

To leave a comment for the author, please follow the link and comment on their blog: My Life as a Mock Quant in English.

R-bloggers.com offers daily e-mail updates about R news and tutorials on topics such as: Data science, Big Data, R jobs, visualization (ggplot2, Boxplots, maps, animation), programming (RStudio, Sweave, LaTeX, SQL, Eclipse, git, hadoop, Web Scraping) statistics (regression, PCA, time series, trading) and more...



If you got this far, why not subscribe for updates from the site? Choose your flavor: e-mail, twitter, RSS, or facebook...

Comments are closed.

Search R-bloggers


Sponsors

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)