waltherg

8 ms·

1.
by waltherg 3y ago
Great write-up, thank you. Do you have rough measures for what constitutes high/mid/low- dimensional data? And how do you use XGBoost et al for multi-step forecasting, I.e. in scenarios where you want to predict multiple time step
2.
by waltherg 4y ago
OP pointed out that meetings and projects have happened remotely anyways for a long time - an experience I share. The peers you describe aren’t in the same place as yourself even if you’re both in some office.
3.
by waltherg 4y ago
Yes, I read this and was thinking therapy from the start. I was never against therapy but finally pulled through and my mood and outlook have improved dramatically over the past six months thanks to my weekly therapy sessions. OP’s username
4.
by waltherg 5y ago
Come on mate what's with the pessimism. When did the rich upper class of Italy fail to deliver for the remaining 99% of Italy? Oh wait ...
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by waltherg 5y ago
Gosh. Did Winterpeg for a year. That was an experience for sure. So long Windypeg.
6.
by waltherg 5y ago
In the south of Italy where I am right now there appears to be a pattern of pre-lunch and pre-dinner rush hour. You get some pretty decent cycling paths along the sea between 1 pm and 5 pm which turn into what can only be described as death
7.
by waltherg 5y ago
I thought the point of those ads wasn't that Brave make money but that you accrue those Brave tokens as a representation of your attention and get to send those tokens to publishers of your choice via the browser? Also, I turned them o
8.
by waltherg 5y ago
The value proof in the backend that convinces advertisers to throw more many at this? Mostly rule of thumb heuristics with a fair amount of overselling. So no, in most cases the telemetry just doesn't prove much. I've seen the the
9.
by waltherg 5y ago
This is a great point and way of looking at it: pandas and SQL live at opposite ends of the maturation level of data wrangling pipelines.
10.
by waltherg 5y ago
There's usually entire teams involved in preparing these sorts of decks - from content researchers via subject matter experts to designers. So not a single person needs to believe in it all at once. I think a far better question is: Do
11.
by waltherg 5y ago
So, essentially, you live in Italy where traffic signs and lights are nothing more than street art and some extra frills on the side of the road.
12.
by waltherg 6y ago
Mice are really into cheese - hence become a mouse to avoid Alzheimer's later in life.
13.
by waltherg 6y ago
I don't doubt that marketing works but always had a feeling that a lot of it is busy work (e.g. reorganizing AdWords campaign structures every couple of weeks for no apparent reason) and a lot of data-driven success stories probably bo
14.
by waltherg 6y ago
I'm intrigued by what you wrote about CNAME records. Could you elaborate on that briefly?
15.
by waltherg 6y ago
I usually have at least some broad, high level understanding of what tech outside my narrow scope looks like. Reading the comments here I have zero clue what you're talking about. Is this what my less technically inclined colleagues fe
16.
by waltherg 6y ago
German here. The latter statement doesn't really hold for us. Super patchy coverage on trains.
17.
by waltherg 6y ago
The - to my mind - most absurd version of this was a well-known Swedish fintech I interviewed with where the one barrier they had set up was one of those online IQ tests (rotating, mirroring etc. blobs on a grid). I was interviewing for a s
18.
by waltherg 6y ago
I've heard two C-level guys with two separate German SMEs say that the only part of their workforce that hadn't handled remote work well was middle management. The people doing the actual work were happy WFH and simply getting stu
19.
by waltherg 6y ago
Lots of loose ends still and nothing noteworthy to the extend that others are posting on here. But I finally got around to reading up on a topic I've been curious about (causality modelling, causal inference, causal discovery) and star
20.
by waltherg 6y ago
Been there so many times. I've been kicked off a project because I couldn't stop talking about training data (they already had) and machine learning algorithms (NLP, text classification) that we could implement right now to start
21.
by waltherg 6y ago
Any chance at sharing what consulting company put the AI play idea in your CEO's head?
22.
by waltherg 6y ago
Hi to anyone reading this. This is my first attempt at describing applications of causal inference in the context of possible industrial applications. I started this article because I often find commonly used examples from economics and med
23.
Show HN: Article on causal inference applications in industry(georg.io)
2 points by waltherg 6y ago|1 comments
24.
A brief intro to forecasting for data-driven decision making(exxeta.github.io)
1 points by waltherg 8y ago|0 comments
25.
by waltherg 8y ago
Since you’re here, what does the following property stand for in your second paper? s ∈ AifM(s)/gec
26.
Show HN: DevOps demo showing microservices, online A/B tests and KPI logging(github.com)
2 points by waltherg 8y ago|0 comments
27.
by waltherg 9y ago
I have seen similar examples of pseudo-distributed Hadoop Docker images that baked all HDFS and YARN daemons into the same container at runtime. With this toy example I set out to learn more about Hadoop clusters by untangling the various c
28.
Show HN: Toy example of a distributed Hadoop cluster spun up with Docker Compose(github.com)
4 points by waltherg 9y ago|2 comments
29.
by waltherg 12y ago
Just in case anyone has time to help me out: What's the difference between trades and quotes here in this chart? And how are the trader's order and purchases indicated?
30.
by waltherg 12y ago
Have you ever worked in scientific research yourself? Scientists sell their story and their version of The Truth just as much as reporters sell their news stories. This image of the objective scientist that prevails outside of academia is m

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