Technology, Computers, Code
It is not really news… Jupyter is the new name of the loved iPython project, and it has been for a while and as they Jupiter projects puts it themselves The language-agnostic parts of IPython… Read More »iPython Notebook is now Jupyter… I knew it!
In a lot of machine learning and data science applications, it is not unusual to use matrices to represent data. It is indeed a very convenient way to keep the information but also to do… Read More »You have big data? MIT researchers can help shrinking it!
I recently asked the guys at the Data Science class at GA to bring a good example of a “daft graph” and they all did that with gusto. As usual, there was a certain cable… Read More »The percentage of excellence in book – reblog
I am an avid user of Markdown via Mou and R Markdown (with RStudio). The facility that the iPython Notebook offers in combining code and text to be rendered in an interactive webpage is the… Read More »Markup for Fast Data Science Publication – Reblog
The Business Intelligence and Analytics Platform report by Gartner is close to the heart of many people interested in the analytics market and it reflect the changes and new tools that people are and will… Read More »Gartner’s Magic Quadrant for Analytics Platforms is out
I was in the middle of an introductory workshop for Data Science at General Assembly and I was talking about using command line instructions to facilitate the manipulation of files and folders. We covered some… Read More »Using curl to download a shortened URL – Dropbox, bit.ly
How to Research a Machine Learning Algorithm // A reblog from Machine Learning Mastery Algorithms are a big part of the field of machine learning. You need to understand what algorithms are out there, and… Read More »How to Research a Machine Learning Algorithm – Reblog
