41–50 of 67 posts
I'm starting to notice that this AI malarkey is becoming a bit of a thing. Do people recommend I take a course in it?
I'm really enjoying his ML class on Coursera. Considering taking the deep learning series next. (And I work more than full time at a tech giant. It's working into my schedule okay so far.)
How to apply to become a company supported by his fund?
Sounds interesting! Does anyone have examples of AI startups that solve real world problems? Just trying to get a picture of what companies would fit their fund.
We're "horizontal". We would not fit his definition of a vertical specific startup. (We have also been around a while though) The bulk of what we do is time series. Applications we do for real paying customers include: Detecting theft of power on the raw grid Online payments fraud Detecting people stealing from the telco network Detecting faults in assembly line machines Detecting computers about to fail Detecting ro…
Sounds interesting! Does anyone have examples of AI startups that solve real world problems? Just trying to get a picture of what companies would fit their fund.
We're "horizontal". We would not fit his definition of a vertical specific startup. (We have also been around a while though) The bulk of what we do is time series. Applications we do for real paying customers include: Detecting theft of power on the raw grid Online payments fraud Detecting people stealing from the telco network Detecting faults in assembly line machines Detecting computers about to fail Detecting ro…
This is really a different kind of venture, and it will be interesting in a few years to see how they do.
AI as we have it now is just a bunch of ML algos and *NNs that perform well in different niches and, well, after all cat pictures were categorized, what to do next?
So, in case Andrew is reading this post, I would like to have a chat with him about my research ideas and if they could be funded. Because if this happens, many more would follow and then we can see a real progres towards real/hard AI.
Now I now why Andrew is two months late delivering the final 5th class for his deep learning Coursera specialization. He has been busy! This is really a different kind of venture, and it will be interesting in a few years to see how they do.
“One of my philosophies of building companies is the importance of velocity,” True. And the key to keep (increasing) velocity is momentum. I believe the fundamentals to that is infrastructure . Once you get to the "flywheel stage" of an AI company ( http://nicodjimenez.github.io/2018/01/25/stages.html ), experimentation becomes so easy that new models can be rolled out nightly.
Andrew has the reputation to do this and not be hated. But you know who did exactly this? Rocket internet, the clone-war masters.
Now I now why Andrew is two months late delivering the final 5th class for his deep learning Coursera specialization. He has been busy! This is really a different kind of venture, and it will be interesting in a few years to see how they do.
Final as in this will be the last time Ng will teach the course?
Courses on Coursera aren't really taught that way. The course instructor(s) prepare the course materials (videos, presentations, quizzes, assignments, etc.) once only. Courses start on a regular schedule and the platform, rather than the instructors, takes you through the material in sequence. There are forums with moderators for peer-support, but you don't typically interact with the instructors as they're not really there.
I assume the OP is referring to Ng building the fifth of the five courses that comprise the specialisation.