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Corporate Finance - Stephen Ross



I've been using Colab for over a year now. I train deep learning models on NLP and medical imaging datasets.

It's a great tool and it lets you focus on the code and the models, instead of the hardware and OS. But $9.99/month is a little expensive for my taste.

You can't customize it and if they change something you have to install software by hand sometimes. It should be $1.99/month, that's the kind of price I'd pay for this basic cloud computing service.

edit: I use Colab to play with ML models. I really don't think it's possible, for instance, to train a model on Imagenet using Colab. So Colab is similar to the microwave, if you want to cook a serious recipe you should use a real kitchen.


I mean when modern GPUs are $1000 I'm curious how you think $9.99 is too much.


Not to disagree, but P100 is not a "modern" GPU. It's based on Pascal, so it's a couple of generations behind. Throughput-wise it's roughly equivalent to 1080ti. Which is still something like $600, so your point stands.


Plus the supporting hardware to run and cool it.


in medical research you are saying $10 / month is too much.. this might be a study in consumer psychology! Here in California, biotech secretaries drive a mercedes...


A big Mercedes, but share three people to a bedroom.


Curious to how you've been training with Colab. I tried running 50 epochs on a UNet3D model, each taking about 20 minutes to run; it was a pain in the ass because the session kept disconnecting.


Google Docs is having some issues too.


"The world is a transformation, and life is mere opinion", Marcus Aurelius.


It's low in terms of the Yuan's purchase power vis a vis the US dollar.

So the Chinese need more Yuan to buy the same products/services from the US. And in contrast, Americans need less US dollars to buy the same products/services from China.


I understand how exchange rates work. What I’m confused about is claim that this is an eleven year low.

The article claims an exchange rate of 7.0391 CNY to 1 USD is an eleven year low, yet the 52 week range is 6.6704, and the five year low is below 6.2976. Typically, these charts show closes rather than intraday ranges, which further ads confusion about the claim.


Calling it lowest ever means that you can get more yuans than ever in 11 years for 1 dollar. If you look at the chart, it clearly shows that this is the maximum yuan amount you can get for 1 USD in at least 5 years.


Right. In other words, "the value of 1 yuan is the lowest in 11 years in terms of how many dollars it can buy..."


So perhaps the CCP is actually trying to keep American goods and services out of China while delivering Chinese goods and services to the US. Sort of a way of cementing their trade imbalance in defiance to Trump.


P(recession | inverted yield curve) = P(inverted yield curve | recession) * P(recession) / P(inverted yield curve)


Google Colaboratory is back. At least I can access my github's notebooks and public notebooks from google drive.


The visualization is good, IMHO there's a lot of room for improvement though. There's a big issue which undermines the credibility of the whole report:

- Venezuela has a Cantril Ladder value of 6.2577.

That's very strange to say the least, and it's hard to believe to be honest. Venezuelans are one of the most unhappy, miserable people in the world.


I took a quick look at the full report (linked in the comments), and I think the data shown in the visualization might not be 100% accurate.


I think they're using data from 2008.


to be clear, is that first-hand experience from venezuela or some other survey?


They lack the basic necessities on Maslow's hierarchy of needs right now, with the state of their ruined economy.


yes but happiness perception is subjective and depends on what information they get


SEEKING WORK – REMOTE

I've worked for 4 startups and on several projects doing web development. I was also Community TA for the Startup Engineering [1] class and for the Machine Learning [2] class at Coursera (Stanford).

I work mostly as a backend engineer and occasionally fixing and writing some Javascript on the frontend (jQuery, Backbone.js). I also can oversee backend development by doing project management and issues and tasks coordination.

I use a methodology for each project like setting up a deployment process/git branching model (development, staging, production), etc., and I'm very pragmatic about researching and using proven solutions (ie: code) to each problem. I code in Python: Django, Tornado, GAE and node.js: Express. Git for source control (Github/Bitbucket). Linux, vim.

Drop me a line: ccarpenterg@gmail.com

[1] https://www.coursera.org/course/startup

[2] https://www.coursera.org/learn/machine-learning/


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