2,242 karma · joined February 8, 2015
Concretely, if you are trying to train a neural net to forecast stock prices or drive a car safely, not only do you want to have predictions, but you want to estimate some measure of how confident your model is of that prediction. This is eminently useful for models that lean towards the "black-box" spectrum, such as deep neural nets.
Note that parameter uncertainty and risk estimation are quite different, which are addressed in this preliminary work http://bayesiandeeplearning.org/papers/BDL_4.pdf
Edit: just realized that businesses requesting loans to 融道网 are screened prior to being made available to public investors, so the deal flow appears to be capped by available business opportunities.
Since I do not have firsthand experience with being a woman, my information comes from talking to women computer scientists and engineers from my school CS program and my workplace, and listening to their firsthand experiences dealing with sexism in the industry. Their opinions are diverse, but generally are in support for more empowerment of women/minorities in the workplace, so I generally support their agenda. Personally, I enjoy working in a more diverse workplace, anyway (long explanation for another day).
In Soviet Russia during the Cold War, I believe boys and girls were both encouraged to study math and sciences, which resulted in a fairly even gender representation in the career, and neither gender was better than the other on average. Food for thought.
Proponents of affirmative-action policies argue that the handicap offsets disabilities from the glass ceiling, discrimination / stereotype threat in the workplace/education pipeline. The calculus of what "balances out inequality" is imperfect, but arguably better than just having the disability.
I believe the group also implicitly controls what packages are allowed/disallowed from the packages list. At the same time, I also recognize the need to support the core developers and the business model makes a lot of sense. Thoughts?
Good on you for pursuing continued education.
Yes it's viable - never lose hope in yourself for anything. The Brain Residency has no age requirement; in fact, the program looks for diverse academic/career experiences. You'd be surprised how close you are to your dream job if you are passionate, hardworking, and lucky.
I too, was intimidated by the math & magic of ML when I first took Andrew Ng's Intro to Machine Learning Course 4 years ago (my first exposure). I took regular CS courses in college and started focusing on ML 1.5 years ago. Beyond taking courses, I highly recommend building your own projects - it exercises your independent research ability and creativity.
The Brain residency pays a good wage for the SF Bay Area (comparable to new grad salary at average tech firms), so you should be able to pay your bills. I've heard rumors that many other companies highly invested in ML are following in Google Brain's example and starting similar residency programs. Your ML career path need not be at Google, though we're a pretty solid choice ;)
disclosure: I work at Google Brain
Here's my build (http://pcpartpicker.com/list/pYWQMp), which runs into some driver issues but can be fixed with Kext utility. This setup allows me to do CUDA programming + Deep Learning stuff natively in OSX, while having access to pretty Mac software. It's great, I highly recommend it!
and a blog post to go with it: http://blog.otoro.net/2016/09/28/hyper-networks/
What do you think is going to happen? Can society do something to prevent mass concentration of wealth into the 0.00001% of people via the march of technology and innovation, or is this an inevitable outcome?
I consider myself a developer, and I almost never use the Fn and ESC keys on my Mac. Everybody uses the computer differently, but I'm pretty sure this is not a deal-breaker for most. One could also argue that the touch bar might lead to innovative developer tools, such as timeline interfaces for Replay Debugging. There are already a lot of applications in the content creation (Photoshop, Illustrator, Maya) space, which developers frequently use to create assets.
[1] https://news.ycombinator.com/item?id=12727973 [2] https://news.ycombinator.com/item?id=12726970
Say no more. Take my money.