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As someone with a background in CS (but not AI/ML) and working in bioinformatics: People with a background in methods like solving problems that are easy to so
by jltsiren 5y ago
As someone with a background in CS (but not AI/ML) and working in bioinformatics:
People with a background in methods like solving problems that are easy to solve with the methods they know. Those are rarely the problems people in biology/medicine want to solve. Some common pitfalls include:
* Asking the right questions.
* Framing the questions correctly.
* Finding computational problems that capture the essence of the questions and that can be solved efficiently.
* Interpreting the results.
* Avoiding systemic biases in rare but important edge cases.
Finding the right problems to solve takes time, and the first attempts will probably fail.
- briefcomment 5y ago> first attempts will probably fail First hundreds of attempts? In your experience, is that a reasonable number?
- jltsiren 5y agoThe first attempts made by any particular person are likely to fail. And when many people approach similar problems from similar perspectives, they are likely to make similar mistakes. Give them a few years, and someone will probably figure out what the mistakes were and how to avoid them.
- beerandt 5y agoRight- thousands of people making the same predictable learning curve mistakes isn't thousands of man-hours of new research. It's thousands of (wo)men all duplicating the same few hours of research, which isn't likely to result in any breakthrough. If 10 people hike to Mt Everest's base camp, it's not the equivalent of one person climbing ~10 times further to the peak.
- deleted 5y ago[deleted]
- neolog 5y agoWhat field do you come from where people succeed so often at cutting-edge research?