A well honed skill set in 'ML' isn't even about the algorithms or data structures or any of that. If you want to be competitive in ML, study and think about experimental design, and what it takes to be able to confidently state the accuracy, precision, and reproducibility of a given analysis when you apply it to real world data.
The biggest issue/ liability with most 'AI'/'ML' is unsubstantiated/ irreproducible results that come from not being rigorous with ones experimental design.
The biggest issue/ liability with most 'AI'/'ML' is unsubstantiated/ irreproducible results that come from not being rigorous with ones experimental design.