sobota, 6 maja 2017

Big Data on a laptop, some options.

Data mining on streams.
http://moa.cms.waikato.ac.nz/rmoa-massive-online-data-stream-classifications-with-r-moa/
http://jwijffels.github.io/RMOA/
https://cran.r-project.org/web/packages/stream/stream.pdf

Database light backend.
https://www.monetdb.org/blog/monetdblite-r

Data mining
https://rdrr.io/cran/ffbase/man/bigglm.ffdf.html
https://cran.r-project.org/web/packages/speedglm/speedglm.pdf
https://cran.r-project.org/web/packages/randomForest.ddR/randomForest.ddR.pdf

piątek, 5 maja 2017

Bayes for beginners videos.

How to explain it plain E:
https://www.khanacademy.org/math/statistics-probability/probability-library/conditional-probability-independence/v/calculating-conditional-probability
http://www.watchknowlearn.org/Video.aspx?VideoID=16751&CategoryID=4457

https://www.khanacademy.org/math/ap-statistics/probability-ap/stats-conditional-probability/v/bayes-theorem-visualized
https://www.khanacademy.org/partner-content/wi-phi/wiphi-critical-thinking/wiphi-fundamentals/v/bayes-theorem
https://www.youtube.com/watch?v=Y-V4rfdl3NI
https://brilliant.org/wiki/bayes-theorem/