There is so much variation from company to company within each of those titles that the distinction between them basically doesn't exist. So if you particularly care about the title - apply for jobs with that title.
It's unlikely they will move out of the market which gives them the most recognition as a brand and accounts for a disproportionately high % of their revenue.
Originally I got it because I noticed that seeing the same few sites on the new tab page influences my browsing patterns. I suppose it also works for avoiding messages from Google.
Over the last day since you wrote this I opened an account with Tandem, had to start a savings account with them even though I wasn't interested in it, applied for the cashback card, got declined despite of a good credit score, and closed my account. The person who I contacted about the account closure was ending his messages with ":D". Just a bad experience overall and I wouldn't recommend it.
Revolut isn't just a prepaid card. What they offer is very similar to Monzo, even if they started out differently. That's why they're competing with each other and it's fair to compare them.
Yep, that's a massive positive that I forgot to mention. In that space they're competing with Revolut rather than the traditional banks. Many people's setup will be traditional bank for everyday banking + Revolut for travel. Monzo can potentially replace both if it gains traction and people trust it enough.
> Can you top up your HSBC account with a credit card from another bank? A Monzo account is just another bank account.
That's a good point. But with the low exchange rate and a modern app, they're also (willingly or not) competing with Revolut. I can top up a Revolut account with a credit card.
> My disagreement is towards the wording of the part where one may assume a memory is being forever altered or modified and I don’t think that’s how our brains handles storage.
The majority of cognitive neuroscience disagrees with you. Doesn't mean that you're necessarily wrong but you'll need to make some really good points for your argument to be taken seriously.
> The brain doesn't know to overlap memories by some hidden timestamp of oh these both happened at the same time!
It kind of does. Each time you recollect something you change the memory of the event (this is also mentioned in the article). Repeated recollection can have varied effects from (simplified) "I don't recall the original event, I recall the last time I thought of it" all the way up to creating false memories. I think there's been quite a bit of research on how this relates to interrogation techniques and the reliability of eyewitness testimony.
Any reasons for this? Not knowing too much about the space, I would say the exact opposite - consumer desktop apps are less and less likely to succeed while enterprise and industry-specific ones still have a place.
I don't think that OP is comparing Rust and Go. Just pointing out how with Go there is a list of points of criticism that are frequently brought up, and he's asking if there are pain points that can be raised up in a similar way with regards to Rust.
Khan Academy has content all the way up to multivariable calculus and differential equations. And for more advanced material than that you'll need textbooks anyway.
> You mean like keras? or tensorflow? Or base random forest. You know, like the original Breiman implementation.
> ...
> Since we're moving some big applications to keras/ TF we do use python and will be using more in the future.
Not sure if I misunderstood, or you're contradicting yourself there.
> R is far superior in its the quality of the packages, their documentation, their ability to behave predictably on a given data type.
I not only disagree but I think that the exact opposite is true for each one of these points. But if things are working well in our shop, I'm not going to try to convince you otherwise.
Not an advantage if you ask me - exactly because data.frame is built in, people have been building their own versions (tibble, data.table) instead of improving it. That's how R ended up with 3 different structures that are similar but have inconsistent apis and behaviour.
> lots of domain-specific packages
That's true.
> more consistent interfaces for basic statistics and machine learning models
Can't disagree more - there is no one go-to library for ML in R (like sklearn in Python) and each package has it's own strange interface and implementation.