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For those studying machine learning, what's the number one thing that currently holds you back from diving deep? 1. Lack of guidance/ML curriculum 2. Coding skills 3. Time 4. Content fatigue 5. Lack of project ideas/feedback 6. Math Respond below if you have a different answer.
1, 4 and 5. I find the maths isn’t complicated but a lot of the times I’ll know a fair number of concepts and the curriculum doesn’t easily allow for jumping ahead. 2 and 3 are issues for many, but could be resolved with basics guidance.
