Learning Tree International Blog

Intel’s distribution of Python, created in collaboration with Anaconda, is billed by the hardware giant as a distribution created for performance. Specifcally, the numerical performance demanded by scientific research and machine learning. Claims are bandied about referring to Python that executes at machine-language speeds, but does Intel Python really deliver? I won’t use the word […]

I enjoy being deceived sometimes. The magicians Penn and Teller do a great job of deceiving audiences. The website https://www.thispersondoesnotexist.com/ demonstrates a different kind of deception: computer-generated images that look incredibly realistic. This is different than the deepfake videos where one person’s face is attached to another’s body. The method the site uses is called […]

When historians study contemporary notions of data in the early 21st century, 2018 might well be a landmark year. In many ways this was the year when Big and Important Issues – from the personal to the political – began to surface. The techlash, a term which has defined the year, arguably emerged from conversations and […]

As mentioned previously, several important RevoScaleR functions include provisions for transforming data within the function itself, rather than require separate steps in addition to the function call. This is advantageous, since it means that large datasets can be read once instead of having to be read repeatedly by several functions. rxImport, rxDataStep, and rxSplit support […]

Data wrangling is the process of cleaning and structuring complex data sets for easy analysis and making speedy decisions in less time. Due to the internet explosion and the huge trove of IoT devices there is a massive availability of data, at present. However, this data is most often in its raw form and includes a lot […]