Automated Insights | Software engineer, applied research | Durham, NC | Onsite | Full-time http://automatedinsights.applytojob.com/apply/oMu2ojUP8M/Sof... I'm the tech lead for the R&D team at Automated Insights, a…
It's a good idea to follow the links before accusing someone of illegal behavior. Here's the link to the study again: [1]. This is specifically in reference to the reporting on quarterly earnings reports that we…
If you do automated content well, it's not awkward and difficult to read ;) As far as visuals vs prose, I see it as "both-and" rather than "either-or". And in addition to our journalism and personalization work, we also…
I work for Automated Insights, a company that makes a SaaS platform very similar to what's in the article. Here's an example "in the wild" of the content we produce -…
Agreed all around. At the very least, I don't think it was obvious what message the author was trying to convey.
Not sure exactly why this was posted today, since spaCy has been around at least a couple years, but - spaCy is a great tool, and I have a ton of respect for Matthew Honnibal, the main developer. Coincidentally, I wrote…
Could you talk more about your phone screens? What criteria are you filtering on? What sorts of questions have you found to be effective at stratifying candidates?
>There is no "fake world" with "fake world" problems You've never met a number theorist.
Seeing an article refer to "AI" as if it's a monolith is a really good indicator of the quality of that article.
>just a theory I think the way you're using the word "theory" here dilutes its technical meaning. More accurate to call it speculation or philosophizing.
Sorry, I might not have been clear about what I meant by "bottom-heavy". I think we actually agree - as someone who's hiring for DS roles right now, I've seen a ton of exactly what you're talking about. -Some candidates…
Call it "the kaggle effect" - once someone defines the problem and the metric you'll be graded on and gives you a relatively clean dataset, "solving the problem" is just as simple as importing xgboost and plowing away.…
To be fair, learning statistics is hard for the same reason that doing statistics is hard - any statistic involves assumptions, and the different assumptions underlying different models can be very subtle. There's a lot…
>If data science just becomes a code word for brogramming your way through a set of black-box ML algorithms, then I will welcome the inevitable crash of data science. A fundamental challenge I see here is how…
Others have made similar points, but I think it bears repeating - Prime is (currently) a clearly inferior offering for music and video. In both cases, their selection isn't even close to their competitors and the UI/UX…
For many startups, there aren't enough users actually using the interface that a couple employees can't handle it. And the insight gained from those direct interactions is worth the cost of the labor.
Oof this article is atrocious, ill-informed hype. Most of it is so high-level that it's essentially a paraphrase of Wikipedia, with some ridiculously specific details like gradient boosting and sigmoid activation…
Jupyter and matplotlib aren't designed to actually do any calculation (they are just for communicating results) so it doesn't make sense for them to be written in C. Pandas has a ton of pure Python code, but if you dig…
The advantage of Jupyter notebooks over RStudio is having text and code in the same place. Personally, I find that being able to run+modify the code in a textbook is much more informative than simply reading the syntax…
Is there (or are there plans for) a version of this in Jupyter notebooks?
With a lot of text entry that I tend to do in public - work-related email/Slack, texts to my partner, etc - I get a reasonable amount of privacy by typing vs. speaking. Even if I had access to a super-human speech…
Automated Insights | Software engineer, applied research | Durham, NC | Onsite | Full-time http://automatedinsights.applytojob.com/apply/oMu2ojUP8M/Sof... I'm the tech lead for the R&D team at Automated Insights, a…
It's a good idea to follow the links before accusing someone of illegal behavior. Here's the link to the study again: [1]. This is specifically in reference to the reporting on quarterly earnings reports that we…
If you do automated content well, it's not awkward and difficult to read ;) As far as visuals vs prose, I see it as "both-and" rather than "either-or". And in addition to our journalism and personalization work, we also…
I work for Automated Insights, a company that makes a SaaS platform very similar to what's in the article. Here's an example "in the wild" of the content we produce -…
Agreed all around. At the very least, I don't think it was obvious what message the author was trying to convey.
Not sure exactly why this was posted today, since spaCy has been around at least a couple years, but - spaCy is a great tool, and I have a ton of respect for Matthew Honnibal, the main developer. Coincidentally, I wrote…
Could you talk more about your phone screens? What criteria are you filtering on? What sorts of questions have you found to be effective at stratifying candidates?
>There is no "fake world" with "fake world" problems You've never met a number theorist.
Seeing an article refer to "AI" as if it's a monolith is a really good indicator of the quality of that article.
>just a theory I think the way you're using the word "theory" here dilutes its technical meaning. More accurate to call it speculation or philosophizing.
Sorry, I might not have been clear about what I meant by "bottom-heavy". I think we actually agree - as someone who's hiring for DS roles right now, I've seen a ton of exactly what you're talking about. -Some candidates…
Call it "the kaggle effect" - once someone defines the problem and the metric you'll be graded on and gives you a relatively clean dataset, "solving the problem" is just as simple as importing xgboost and plowing away.…
To be fair, learning statistics is hard for the same reason that doing statistics is hard - any statistic involves assumptions, and the different assumptions underlying different models can be very subtle. There's a lot…
>If data science just becomes a code word for brogramming your way through a set of black-box ML algorithms, then I will welcome the inevitable crash of data science. A fundamental challenge I see here is how…
Others have made similar points, but I think it bears repeating - Prime is (currently) a clearly inferior offering for music and video. In both cases, their selection isn't even close to their competitors and the UI/UX…
For many startups, there aren't enough users actually using the interface that a couple employees can't handle it. And the insight gained from those direct interactions is worth the cost of the labor.
Oof this article is atrocious, ill-informed hype. Most of it is so high-level that it's essentially a paraphrase of Wikipedia, with some ridiculously specific details like gradient boosting and sigmoid activation…
Jupyter and matplotlib aren't designed to actually do any calculation (they are just for communicating results) so it doesn't make sense for them to be written in C. Pandas has a ton of pure Python code, but if you dig…
The advantage of Jupyter notebooks over RStudio is having text and code in the same place. Personally, I find that being able to run+modify the code in a textbook is much more informative than simply reading the syntax…
Is there (or are there plans for) a version of this in Jupyter notebooks?
With a lot of text entry that I tend to do in public - work-related email/Slack, texts to my partner, etc - I get a reasonable amount of privacy by typing vs. speaking. Even if I had access to a super-human speech…