If I have learned anything from ml-class, pgm-class, nlp-class, and now neural-nets, is that becoming a data scientist is one of the hardest things I'll ever eventually succeed in doing.
The good man was trying the opposite. Which is to make things as simple as possible for early students and get them do the hardest thing they will ever do: "solve some problems using these tools"
Instead of chasing after some title ("data scientist ..."), find ways of solving some useful problems with whatever you learnt. The article argues that becoming an expert is difficult, which may be true. But that does not mean you don't know enough to start digging at your problems in hand
Instead of chasing after some title ("data scientist ..."), find ways of solving some useful problems with whatever you learnt. The article argues that becoming an expert is difficult, which may be true. But that does not mean you don't know enough to start digging at your problems in hand