tworats

Two had small youtube channels delving into details of ML papers, one had a blog with a good explanation of a specific detail on a paper I was interested, one was a recommendation by my graduate advisor (I keep in touch with the university I graduated from a thousand years ago). The undergrad had a fantastic comment on a thread somewhere, I think in Kaggle.

I've had great luck with graduate students (and sometimes even ungrads): I'll find a grad student who knows the topic, often by searching for lesser known content creators on youtube/blogs, and reach out with an offer to pay for their time to explain a particular topic. So far it's worked out great, and I've created relationships with smart up and coming people in the field - they make meaningful money, I accelerate my learning. I ended up eventually hiring one, and another did consulting for me for some time. We had a routine where I'd ask them to read and summarize / teach me ML papers that were of interest to me, which they in turn could use in their studies/thesis/youtube channels.

Tips on this: content creators tend to be more open to and better at explaining things, and you get to see their ability to explain before you pay them. If you can, overpay them - students need the money more than you do :-)

Coupa | San Diego / San Mateo / Bay area / Remote | Software Engineer, Data Platform Team | On-site with WFH days | Full Time

Join us in Coupa's (NASDAQ:COUP) data platform team to build and extend the core technologies used in analyzing customer data and providing insights. Spark and python for the backend, Django and Rails for apps and services, machine learning of all sorts (simple classifiers to deep learning). If you're a great engineer with experience or interest in data and machine learning and a good understanding of stats this would be a good match.

Job description and application:

Please reach out to me (Tony): td at coupa dot com.

> The rewards for working on new ideas are weighted by the value of the outcome. So it's worth working on something that only has a 10% chance of succeeding if it would make things more than 10x better

This is the primary point here - the "crazy idea" may (and likely does) have a low probability of being correct and succeeding, but with an outsized reward it may still be worth pursuing. This is, almost by definition, the correct way of looking at it.

Also note that he's talking about crazy ideas from "reasonable domain experts", not your run of the mill crazy.

This is not just a response to Mighty - he's been talking about this for years.

Do these come with stock android, and are they updatable? Or, can you install some other distro on it (eg. cyanogenmod)?