I think the best way to start is tackling a specific problem. Ex. Try building a summarizer for any given piece of text.

Start by using traditional statistical methods first in order to understand what works and what doesn't. From there, you can go on to work on an ML solution to the same problem in order to see the actual difference between the two approaches in terms of comparable output.