antipaul

I dunno, any programming seems a different beast than a spreadsheet tool.

For python, just think of installing it or setting up virtual environments.

Like the original article says, “spreadsheets are the original low code”

This website didn’t even open unless I “reload without content blocker”

I dunno, N=66 training and N=34 for validation along with Lasso regression suggests the performance measures are dramatically overfit

See figure 3 etc: https://pubs.acs.org/doi/pdf/10.1021/acsami.1c01754

This is actually called Michigan Time

Does “possible” in your statement refer to the inherent constraints of the architecture as specified by the researcher, or something else?

Makes sense, and a good extension of the Rule of Three: https://en.wikipedia.org/wiki/Rule_of_three_(computer_progra...

When you are making the PowerPoint

Just to note, Apple made no mention of Safari because then you are on an Apple platform, where you always have available the actual FaceTime app

Good points. But I genuinely wonder what role algorithm brittleness plays here.

“Fitting only to the test set” (see Andrew Ng quote in original article) is an acute concern in my circles: digital pathology in cancer research

See “Google’s medical AI was super accurate in a lab. Real life was a different story.”

https://www.technologyreview.com/2020/04/27/1000658/google-m...

Update: https://news.ycombinator.com/item?id=27408647

Critique is good but depends on whether it is constructive or not constructive.

And that’s a bit of a subjective call

How exactly is it net zero emissions?

Not a single mention of “iPad” when writing about the OS of the “your next computer is not a computer” company?

For many/most of us, iPad is not a desktop replacement.

But for the rest of the world, it seems its getting there.

The iPad is increasingly the personal computer 2.0 for so many people (not all), and it’s quite a step up in usability

I came here to ask, “where is the screenshot?”

Details on app review process, including picture of reviewer workstation, surfaced in the Epic game trial:

https://www.macrumors.com/2021/05/07/app-store-35-percent-of...

Why web technologies? You may have to build a web app to display some data or results.

But like some top comments say, data science is super broad and it just depends on your team.

Mature orgs and teams have a clear idea what their focus area is, while others don’t have a cogent conception of what constitutes “data science”

If there is a lot to build, like data pipelines or software apps, as opposed to just “analyze”, I think it helps to add a word for the discipline of “engineering”, eg software, data, backend engineering.

The role mismatch between data and other engineers, vs actual (data) scientists, makes it difficult for decision makers to figure out which one they need

References

https://www.oreilly.com/content/why-a-data-scientist-is-not-...

https://medium.com/airbnb-engineering

When someone said, corporations are people, it got a lot of flack. And yet, corporations then became people, finding it necessary to have and voice strong political opinions.

It looks like some companies are now going back to focusing on being companies, and less people.

Ideas seem to resonate with Fred Brooks, of "Good design comes from good designers" fame.

The world is, I think, big enough for such an experiment to bear fruit.

I predict you’ll get some decent offers, so cheers mate and have fun!

I find it (not) surprising that there is so much interest and/or noise about AI or algorithmic "bias", and little to no noise about the decades of similar "bias" from the application of likelihood in fields that apply traditional "statistics"

Looking at technology, yes. They sort of gave up competing with US and China, and focus on regulation (eg, GDPR)

But then “9 of the top 10 happiest nations are in Europe” [1]. That’s good news right?

The question is how will this dynamic play out over next few decades. Is it necessary to lead in technology to remain peaceful and happy?

[1] https://qz.com/1986996/europe-is-home-to-9-of-the-10-happies...

Indeed. Isn’t that the whole point of the 100 years or whatever of statistical inference, where D is a sample and is representative of D’?

There are relations between the two. See the link:

“In the late eighteenth century, Chevaliers de la Rose-Croix of Paris briefly adopted the numerals for mystical use”

Then read more about the Chevaliers

`dplyr`, the data manipulation library in R.

Some prefer base R or data table, or python pandas, but for me, dplyr is essentially a _perfect_ data manipulation library for small to medium data, and nothing comes close.

Given that for a data scientist, data cleaning is “80% of the work”, and in a world where science is increasingly data science, means that dplyr has done a LOT of good.

Honorable mention goes to ggplot2, the plotting library, and the rest of the tidyverse.

And Maxthon!

What if you simply add department and department*salary interaction terms to a standard regression model?

How might this be combined with a training/testing data splitting paradigm, or even using an ML model?

App Store guidelines forbid using the Contacts for anything except the intended purpose: https://appleinsider.com/articles/18/06/12/apple-disallows-d...

Do we give CH the benefit of the doubt =p ?

In any case, I also hope (and expect) Apple to implement better controls for sharing contacts.

EDIT: Typo