Agreed. Massive investment in the downtown area (there will be something like 15 cranes near downtown in the next year), great activities nearby, a low cost of living, and a (small) but growing tech scene.
Also home to one of the best rated airports in the US.
I know several good people that have been locked out of Coinbase permanently - without any explanation of why - for over a year despite repeated unanswered requests to have accounts reinstated. I watched those people turn from advocates for coinbase into critics. Just a simple explanation would have helped prevent that scenario.
This company is a terrible example of how to do business. It's as if they watched how Google handled AdSense publishers in the early days and decided to copy that model for customer service.
This is great - especially for small projects and learning. However, there are a few limitations to be aware of if you’re thinking about using it for real projects.
First, is memory. I’ve seen reports of practical limitations being around 500mb. Call me a spoiled millennial noob but the vast majority of my real-world ML projects use a lot more - especially when working with image data.
Second, is getting data into your notebook. Most ML is data heavy and you want a fast way of working with it. For example, the Google Landmark challenge on Kaggle has nearly half a terabyte of unaugmented images just for the test set. You could easily push several terabytes for that one-off challenge alone if you were not careful.
Note: it is possible to work with much less data in many cases by resizing and preprocessing the images as you pull them down but that has problems too. Also, you can use Google Drive but it’s not ideal for large datasets.