A data scientist's skills can prove useful even in situations where data may be unavailable.
Read it!"The difficulty is that machine learning is a fundamentally hard debugging problem. Debugging for machine learning happens in two cases: 1) your algorithm doesn't work or 2) your algorithm doesn't work well enough."
Read it!On avoiding the excessive adoption of new technologies solely for the sake of it.
Read it!