canopylabs

4 ms·

1. 1.▲
   by canopylabs 14y ago

   Sorry to say, but I disagree with the premise of this article. You still need R to answer many of the questions the author of the article is proposing to answer. On top of that, having a degree in AI will prepare you for a lot of real-world
2. 2.▲
   Canadian finalists to YC? Meetup on April 30?

   3 points by canopylabs 14y ago|0 comments
3. 3.▲
   "Is accuracy important?" and other questions in enterprise analytics(canopylabs.ca)

   1 points by canopylabs 14y ago|0 comments
4. 4.▲
   by canopylabs 14y ago

   I've seen quite a few startups with "normal" (say, 60 hours or less per week) hours. That being said, the people I know who put in 100+ hours per week on their startup also have been more successful (long-lived company, multiple millions in
5. 5.▲
   by canopylabs 15y ago

   Would love to hear your thoughts on the topic. Either here or on the blog. Much of my work now focuses around lowering the barrier to entry for analytics (particularly in traditionally more qualitative fields), hence the post.
6. 6.▲
   Analytics has a UX problem(canopylabs.ca)

   1 points by canopylabs 15y ago|1 comments
7. 7.▲
   by canopylabs 15y ago

   While this is more anecdotal, I know quite a few financial firms use neural networks for their stock trading algorithms. It's less about whether or not they're the right tool, and a matter of using every tool there is to see what happens to
8. 8.▲
   by canopylabs 15y ago

   Thanks for posting this. Have you read the book? I'm from Canada and am very surprised at Canada's high rankings. Wondering if the authors took into account the relative differences between university / college systems across countries. Can