I did my Master’s part-time at DePaul University with almost all of the program online while I was working. They have an AI track but I am not sure how good it is.
First and foremost, what you are describing is metacognition - thinking about the way you think. Hopefully that will aid you in your search for things!
Secondly, here are some of my favorite influential material:
- Guy Kawasaki, Make Meaning. Aimed for startups, but equally applicable in life. My takeaway: Have the proper motivations for doing things.
https://www.youtube.com/watch?v=lQs6IpJQWXc
- “Out beyond ideas of wrongdoing and rightdoing there is a field. I'll meet you there. When the soul lies down in that grass, the world is too full to talk about.”― Rumi
Former S3 employee here. I was on my way out of the company just after the storage engineering work was completed, before they had finalized the API design and pricing structure, so my POV may be slightly out of date, but I will say this: they're out to replace tape. No more custom build-outs with temperature-controlled rooms of tapes and robots and costly tech support.
If you're not an Iron Mountain customer, this product probably isn't for you. It wasn't built to back up your family photos and music collection.
Regarding other questions about transfer rates - using something like AWS Import/Export will have a limited impact. While the link between your device and the service will be much fatter, the reason Glacier is so cheap is because of the custom hardware. They've optimized for low-power, low-speed, which will lead to increased cost savings due to both energy savings and increased drive life. I'm not sure how much detail I can go into, but I will say that they've contracted a major hardware manufacturer to create custom low-RPM (and therefore low-power) hard drives that can programmatically be spun down. These custom HDs are put in custom racks with custom logic boards all designed to be very low-power. The upper limit of how much I/O they can perform is surprisingly low - only so many drives can be spun up to full speed on a given rack. I'm not sure how they stripe their data, so the perceived throughput may be higher based on parallel retrievals across racks, but if they're using the same erasure coding strategy that S3 uses, and writing those fragments sequentially, it doesn't matter - you'll still have to wait for the last usable fragment to be read.
I think this will be a definite game-changer for enterprise customers. Hopefully the rest of us will benefit indirectly - as large S3 customers move archival data to Glacier, S3 costs could go down.
I've typed and deleted this post a few times trying to find a way that it doesn't sound kind of pompous but if it helps save one person alot of money then screw it, I'll sound pompous....
I get asked quite a bit on how to start doing algorithmic trading and the first thing I always tell people is don't.
I think I've said this many times now but the number of people who come at it with the thinking "I'm a computer scientist. I'll just fire up R or python and apply some machine learning to the markets and watch the money roll in" is staggering.
I mean each day 100's of Phd's start with clean market data, more data sources than you could possibly think of and statistical back testing systems that have 1000's of man hours put into them, trying to find a way to make money.
After all of that if you really want to I wrote this in response to an Ask Hacker News a little while ago
- expect to take a year to figure out some edge in the market
- most decent trading strategies that a normal person can use come from economic/market insights first and technology second.
The site: https://www.quantstart.com/ is also decent at bringing you up to speed on the math you'll need to know though I believe that the material there oversells how easy it is to find a decent trading strategy.
