Time series are a special animal.
After I began my Machine Learning profession I did it because I loved Physics (weird reason to start out Machine Learning) and from Physics I understood that I also loved coding and data science rather a lot. I didn’t really care in regards to the type of knowledge. All I wanted was to be in front of a pc writing 10k lines of code per day.
The reality is that even whenever you don’t care (I still really don’t) your profession will drift you to some kinds of knowledge fairly than others.
For those who work at SpaceX, you almost certainly won’t do quite a lot of NLP but you’ll do quite a lot of signal processing. For those who work at Netflix, you would possibly find yourself working with quite a lot of NLP and suggestion systems. For those who work at Tesla you’ll most definitely be a Computer Vision expert and work with images.
After I began as a Physicist, after which I kept going with my PhD in Engineering, I used to be immediately thrown into the world of signals.
That is just the natural world of engineering: each time you have got a setup and extract the data from it, at the tip of the day, you treat a signal. Don’t get me improper…
