I just graduated with a B.S. in CS and managed to snag an entry-level machine learning position at a pretty well known company in the Bay Area.
I'm incredibly nervous for a number of reasons but mainly because I feel like I lack the machine learning knowledge to really contribute. My only experience is a class in college and also the coursera ML class that I'm currently taking. Furthermore, the position was originally meant for a MS/PhD. I can't shake the feeling that I'm "not good enough".
I mainly would like to know what I should expect from an entry-level machine learning position? What would be the best way to prepare? Best ways to review ML material? Any tools/skills that every person working in ML should be familiar with? How do I overcome this lack of confidence?
Sorry if this post seems more suited for /r/cscareerquestions - I felt like I'd get more specific advice here.
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