Is it reasonable for a data scientist to have experience with NLP, image recognition, recommender systems, reinforcement learning all at once? | Coursera Community
Coursera Header

Is it reasonable for a data scientist to have experience with NLP, image recognition, recommender systems, reinforcement learning all at once?

  • 30 December 2019
  • 1 reply
  • 57 views

Badge +1

I see this in job postings asking for a DS with experience in multiple but very different subdomains of ML. Like CV and recommender systems require a data scientist, yes but they generally have years of experience in either CV or recommender systems. Is it common for data scientists to really be a jack-of-all trades in ML doing deep learning, CV, reinforcement learning, inferential statistics?


1 reply

Badge

Hi Jasper,

Absolutely not. I have bee working with AI/ML for the last 30 years and still have some huge gaps. Job postings are generally unrealistic and way too optimistic  and my best advice to you would be to focus on particular areas of interest to you, then the quality and interest will follow naturally.

Best

Henrik

Reply