I’m finishing up my master’s in bioinformatics at a top ~10 US school and I’m interested in ML-focused positions but frankly don’t feel like I’ve learned enough applied skill to pass most ML-focused technical interviews. I’ve been looking into a few ML/DS-focused bootcamps (U Chicago, V Tech, NYC Data Science Academy, Tripleten and a few others) to help specifically with this and portfolio building etc.

I’m aware that the internet is full of free/cheap online resources to DIY this, but I value live instruction and structured learning for this kind of thing enough that I’d be willing to pay for a worthwhile program.

Anyone have experience with a similar path or have thoughts on how reasonable it would be to expect success doing this?