Appleiphoneitalia : Evasi0n7, è stata rilasciata la ver.1.0.4 sisteman...

-
Appleiphoneitalia : Evasi0n7, è stata rilasciata la ver.1.0.4 sisteman...: Gli evad3rs hanno annunciato il rilascio di evasi0n7 ver. 1.0.4 che porta importanti correzioni per la

Comments

Post a Comment

Popular posts from this blog

iCloud Lock DNS Bypass Server DNS 78.109.17.60

-
Image
DNS 78.109.17.60 Watch video, take pictures, record videos, listen music and radio on your iCloud Locked device while you are waiting full bypass You can try  Applications => Crash  method to unlock your device, but only few people unlocked. Server created by one developer from Ukraine. DNS server and HTTP server fully coded on C++ And thats why my server is failover. More than 12K devices online. More than 100K menu pages requesting per day. And it uses only 2% CPU load. Download tools 
Read more

Statistical analysis with Gnumeric

-
The spreadsheet is a valuable tool for data scientist. This is what the annual KDnuggets polls reveal during these last years where Excel spreadsheet is always well placed. In France, this popularity is largely confirmed by its almost systematic presence in job postings related to the data processing (statistics, data mining, data science, big data/data analytics, etc.). Excel is specifically referred, but this success must be viewed as an acknowledgment of the skills and capabilities of the spreadsheet tools. This tutorial is devoted to the Gnumeric Spreadsheet 1.12.12. It has interesting features: Setup and installation programs are small because it is not part of an office suite; It is fast and lightweight; It is dedicated to numerical computation and natively incorporates a "statistics" menu with the common statistical procedures (parametric tests, non-parametric tests, regression, principal component analysis, etc.); and, it seems more accurate than some popular spreads...
Read more

Kohonen map with R

-
This tutorial complements the course material concerning the Kohonen map or Self-organizing map ( June 2017 ). In a first time, we try to highlight two important aspects of the approach: its ability to summarize the available information in a two-dimensional space; Its combination with a cluster analysis method for associating the topological representation (and the reading that one can do) to the interpretation of the groups obtained from the clustering algorithm. We use the R software and the “Kohonen” package (Wehrens et Buydens, 2007). In a second time, we carry out a comparative study of the quality of the partitioning with the one obtained with the K-means algorithm. We use an external evaluation i.e. we compare the clustering results with pre-established classes. This procedure is often used in research to evaluate the performance of clustering methods. It takes on its meaning when it is applied to artificial data where the true class membership is known. We use the K-Means and ...
Read more