The intro seems really funny to me. They could find no textbook that covers these topics so they printed their own. Meanwhile ISLR just released their 2nd edition. This book is the gold standard of all textbooks let alone on statistical learning. Their efforts would have been better covering case studies or advanced applications well.
capitalism, once the models are cheap enough to develop, the models will be made to work on the whole distribution of users. It's the same story for, pharmaceutical research, lots of drugs that work for white people are ineffective or else for black people.
Like should we be going out and voting for people who aren't incompetent leaders? That's not an option because by and large the people who want to be elected are puppets or sociopath. What do you suggest?
Any pointers from someone with DL/AI background in Python? I was looking to do web development with flask, postgresql,HTML/CSS... Does flutter just replace front end and interact with the flask rest api instead of things like jinja templates?
Is there a need to account for circadian rhythms in sampling, do you ask your customers to swab at noon or before bed, or do you just include this info in model training/prediction?
Reminds me of me of the Green Kayle skin I bought in League of Legends almost a decade ago. Pricks changed the base design of the model and did so for the paid skin as well.
Has anyone from a SE background used this? I come from data science so I and peers use Jupiter notebooks for everything. I've never used a proper IDE so I wouldn't have anything to compare it to. But I need to start wrangling in people's notebooks and am hoping nbdev does the trick.
In this context, the malware hackers are probably going to save lives in the future by setting a modern precedent for negligence at hospitals and it systems will be updated. Surely they should be patted on the back for such efforts?
What's equally absurd is that I assumed they ruined the web experience with their redesign in order to make it mobile compatible. It just goes to show they're ruining both web and mobile experience to pigeonhole users into environments where they can force feedback loops of their users so they have to spend more time in either platform.
No. As a young bioinformatician in industry who has to nearly beg for a salary greater than a PhD stipend for a skill set which would net +30-50% in other settings with more than a years experience and disproportionate responsibilities relative to colleagues(who all get paid equally or more for skills which are more widely available)... I'm trying to leave this field. As a whole I don't recommend it, and if it's not someone like me doing this work, then who is.
So instead of image annotation, self-supervised learning performs image manipulation to train a model. Then what? Is this network then piped into the original task at hand which would have required human annotations or is it simply for these made up tasks?