We analyze images of skin lesions and give a probability whether they are malignant melanoma. The analysis is performed on-board on mobile phones.
Ask HN: What do you use Machine Learning for?
71–80 of 165 posts
Re: Ask HN: What do you use Machine Learning for?
#72Re: Ask HN: What do you use Machine Learning for?
#73I use it as something to worry about not knowing how to use, and how that might make me unemployable in a few years, while also having no obvious need for it at all, and therefore no easy avenue towards learning it, especially since it requires math skills which have completely rusted over because I also never need those, so I'd have to start like 2 levels down the ladder to work my way back up to it. I've found it v…
Re: Ask HN: What do you use Machine Learning for?
#74Re: Ask HN: What do you use Machine Learning for?
#75Replacing project managers and introducing reward/score based AI bots that keep track of progress of individuals as function of stories they are working on, and these bots send out reminders (slack chat bots perhaps). This will can help improve productivity at large firms with multiple (and sometimes unnecessary) levels of manager hierarchies such as IBM, Dell, HP, oil companies etc. Let's be honest a certain program…
Re: Ask HN: What do you use Machine Learning for?
#76Re: Ask HN: What do you use Machine Learning for?
#77Re: Ask HN: What do you use Machine Learning for?
#78Re: Ask HN: What do you use Machine Learning for?
#79Automatically answering HR queries worded in different ways
Re: Ask HN: What do you use Machine Learning for?
#80I use it as something to worry about not knowing how to use, and how that might make me unemployable in a few years, while also having no obvious need for it at all, and therefore no easy avenue towards learning it, especially since it requires math skills which have completely rusted over because I also never need those, so I'd have to start like 2 levels down the ladder to work my way back up to it. I've found it v…
Those who are still in school or fresh out of it will be up-to-date with the latest theory and trends. And they will be eager to pour hours of overtime into their new career. Sure, they will have years of practical experience to gain, but that's not usually what they will be interviewed on (from my experience). They will be interviewed on the latest tech and the algorithms and theory they learned in school. Their whiteboard interviews will be another day from class.
Given the influx of fresh blood, I view the software engineering profession as a entry-level type of job, regardless of the varying levels of seniority titles available. The only way to escape the constant churn is move to other roles, such as architect, management, executive or to start a business such as in niche consulting or a startup, etc. Or you can eschew the typical life of mortgage + kids and dedicate it to keeping up with every latest trend, hopping jobs to stay current and hoping you never slow down.