Run Monte Carlo simulations with Minitab
This video is about easyR, a framework by Kiwi Data Science, which is based on the R language and cloud technologies. easyR has been projected as a tool to develop highly customised tools for statistics and data science
Scopri cos’è la Data Science e in che modo stia rivoluzionando il modo di fare e ottimizzare il business
This is an example where data science and statistical analysis is superior to intuition. Here, intuition is misleading you into the wrong conclusions.
By twin data points, I mean observations that are almost identical. In any 2- or 3-dimensional data set with 300+ rows, if the data is quantitative and evenly distributed in a bounded space, you should expect to see a large proportion – above 15% – of data points that have a very close neighbor.
During the predictive modeling process, there are many places where it’s easy to make mistakes. Luckily, we’ve compiled a few here so you can learn from our mistakes and avoid them in your own analyses:
Data scientists are a rare breed. Part mathematician, part business professional and part computer programmer, these curious individuals play and discover in the world of big data, spotting trends and leading companies around the world toward lower costs, higher returns and better overall products.
Smart data scientists use data virtualization to integrate data from many diverse sources – logically and virtualized for on-demand consumption by different data analytical applications. For example, data virtualization is used to address challenges such as rogue data marts, business intelligence apps, enterprise resource planning and content systems and portals.