I'm a beginning doctoral student in the field of Machine Learning and I've been given several contradicting opinions on whether a PhD is worth it or not. I don't want to spend the rest of my life in front of a desk doing research, but I would like to deepen my understanding on my field. I am interested for a career on industry. Some people say I'm wasting my time for doing the PhD and some people say it is worth it. My plan at the moment is to finish PhD as fast as possible and then continue my career in industry when I'm still young. Any opinions or recommendations on what I should do? :)
I want to add to this that I have already 2,5 years of work experience on industry (IT) already. For example I designed and implemented an online language skill tester for my university and have worked as a software engineer. So I wouldn't be entirely newbie in programming after I finish my PhD...
My subject is about applying the techniques of Machine Learning on Big Data.
Thank you for any suggestions and guidelines :)