hcho3

Previous discussion: https://news.ycombinator.com/item?id=26221690

I switched to Kitty as it was one of the few terminal emulators that supported font ligatures. So far I'm quite satisfied. It's smooth and fast.

+1. I feel the same way. If one out of 20 drive-by contributors stick around and become regular, that would be a real win for me. (I'm currently maintaining a project with 20k GitHub stars and we have four regular contributors.)

From https://hacktoberfest.digitalocean.com/faq:

> Do pull requests made on my own repositories count?

> Yes, but we strongly encourage you to make quality contributions to other repositories.

Same here in US west

Given that many data people run across is tabular, I appreciate your advice about the importance of statistics. Also kudos for mentioning hypothesis testing (no one in this thread mentioned it). Lastly, I’d add that ML practitioners will gain a lot by listening to statisticians and economists on the issue of data quality, e.g. selection bias.

That said, I am not as cynical about “machine learning.” ML and “data science” brought the importance of prediction front and center, i.e. can you fit a model that accurately predict the target value given a previously seen input? This point is made by the recently published stats textbook Computer Age Statistical Inference (Efron and Hastie).

In some applications, it may be beneficial to choose black box models with high predictive accuracy, as the goal for these applications is prediction, not interpreting individual model coefficients.

Many business data is tabular (possibly with time component), and if you are working with tabular data, the OP’s advice is sound.

I manage a continuous integration server for an open source project that contains CUDA code. To test, we need to run workers with NVIDIA GPUs, and so far I haven't seen a viable alternative to Jenkins.

> “millions of individual adherents“

Is Crossfit a cult? At first I thought the article was a parody or something

> Half of that is stock, annually

Ah ha. I read it as saying people getting 300k in cash. It makes more sense now. For me, I'll have to wait out several years until my RSU gets fully vested. Let's hope I don't get fired in the meantime :)

> Even newly minted Ph.D.s in machine learning and data science can make more than $300,000.

Wait, really? I'm just starting out as a research scientist and my pay is nowhere that high. Am I missing something?

> Nobody will talk with me.

Wow, I'm sorry to hear that. It sounds like you've gone through a lot.

I am also a recent transplant in Seattle. If you ever need someone to talk to, we can meet up over coffee or something. You can reach me at chohyu01@uw.edu.

Indeed, many riders on Seattle buses are middle and upper class:

From 2016 Riders Survey (http://kingcounty.gov/~/media/depts/transportation/metro/acc...):

Household Income

* < 35k/year: 25%

* 35k-100k/year: 34%

* > 100k/year: 32%

Also, 93% of the riders have access to a personal vehicle.

I'd also recommend Fundamentals of Matrix Computations by Watkins for a great introduction. It helped immensely when I had to teach myself matrix algorithms as part of my undergraduate research.

https://www.amazon.com/Fundamentals-Matrix-Computations-Davi...

Just deleted Uber from my phone. Is there a good alternative to Ubereats?

Thanks for pointing out a common misconception of the Protestant ethics. In fact, there has been many books written about the incompatibility between "American Dream" and Protestant faith. Here's one for start: https://www.amazon.com/Radical-Taking-Faith-American-Dream/d...

I'm really shocked how many people here are blaming the victim here...