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.
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.
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'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.
I have worked for several startups designing and developing systems, using open source tools and the same methodologies that are discussed on HN. My experience inlvolves the direct collaboration with the founders via remote and on site coordination.
I was one of the Community TAs for the Coursera Machine Learning (Andrew Ng) and Startup Engineering (Balaji S. Srinivasan) classes.
Things I can do for you:
- Setting up a development cycle (ie. dev/staging/production branch model)
- Write web applications in Python and Javascript (node.js, Backbone.js, jQuery, etc)
Native Spanish speaker. Working Proficiency in English. Scored 895 out of 990 on the Test of English for International Communication (TOEIC).
I focus on your relational database schema design and SQL. All from SQL antipatterns, unique and partial indexes, JOINs, nested queries, recursive queries to how to represent SQL code on your ORM of choice.
I was the community TA for the Coursera Startup Engineering class and for the Coursera Machine Learning class. I've also worked for several startups as a remote contractor.
Stack
Web development: Python web frameworks (Tornado, Django, Flask, GAE), ORMs (Sqlalchemy, Django ORM), Javascript frameworks and tools (jQuery, Backbone.js, D3.js), node.js (Express, Sequelize)
If you need to tackle issues like 'how to ensure we sell a concert ticket (ie. numbered seats) only to one customer given that we have multiple concurrent users trying to buy it at the same time?' or 'how to reference multiple parents for the same database model/table? 'then I might be the right guy for you.
Send me an email at [email protected] I look forward to meeting you online.
I've worked for 3 startups so far doing web development. I'm also a Community TA for the Startup Engineering class and for the Machine Learning class at Coursera (Stanford).
The New York Times, quoting American officials and others familiar with the investigation, said radar signals recorded by the Malaysian military appear to show the airliner climbing to 45,000 feet (about 13,700 meters), higher than a Boeing 777’s approved limit, soon after it disappeared from civilian radar, and making a sharp turn to the west.[1]
If the MH370 suddenly climbed to 45,000 feet that would indicate that either (1) there was a mechanical failure so the pilots had to struggle to take the control again or (2) there was a fight in the cockpit that resulted on the abrupt climb.