Seems like they did something to the notebook interface to make it more responsive on tablets. I usually cannot manipulate Jupyter notebooks from an iPad, but I can here. Is this just a MS modification?
The statement "More wisdom potentially gets extracted when you apply Statistics to more (and better) data, but the analysis itself doesn’t improve with better data." simply isn't true. A hierarchical model, for example, is increasingly able to model subgroups and additional levels of hierarchy as more data are added. Penalized regression (or Bayesian regression) is another example -- the model is structurally different as you change the quantity of data.
The difference between ML and statistics is entirely semantic. Is logistic regression a ML method or a statistical method? It is both!
Neither of these assertions are true. I use Py3 to teach graduate-level scientific computing and machine learning with great success, and the scientific Python community is making a very strong push for adoption. All major packages in the scientific stack now support Python 3.
I closed my PP account 2 years ago and would never consider using the service again. Once upon a time it was a necessary evil, now it is no longer necessary (just evil).
Where does Slate find the hacks to write articles like this? Embarrassing, particularly for someone who is supposed to be an education columnist AND a professor. I had trouble following the actual story, as it was hard to separate from the writer's open disdain for MOOCs.