Altair is amazing. I've been using matplotlib going on 12 years now -- Altair didn't feel more productive at first (more typing), but the longer you work with it, the more you realize how the API is a cohesive system.…
A hazard rate can be thought of as a patient's one day probability of mortality. A hazard ratio is a ratio of two hazard rates, so 1.25 would mean that people in one group were dying at a 1.25x rate relative to a…
For Bayesian stats, "Statistical Rethinking" by McElreath is a masterpiece.
Neat! See also: https://fklearn.readthedocs.io/en/latest/, which wraps sklearn in a much-improved functional API.
Have a look at duckdb, it's is another interesting tool that's columnar and embedded. It would be amazing if the world of open-source column stores matured a little bit relative to where we are today...
+1 to this, I've had multiple teams that have shied away from airflow because of its operability & deployment story, despite needing something that has all its features. In terms of radically different takes on workflow…
They're also used in spectral clustering, which is a powerful method for clustering data (see Ng 2001 for some pictures)
I think it's pretty easy for this discussion to become about personalities and not methodologies. Gelman is pretty brash and speaks his mind, so he could be correct on methodology and have that get lost in the noise. So…
In cases where you need to interpret the resulting model, I've been advised not to bin (for example: http://biostat.mc.vanderbilt.edu/wiki/Main/CatContinuous). Other alternatives are splines or generalized additive…
Classic post! This post is like a gentle gateway to the world of Bayesian statistics -- check out Cameron Davidson Pilon's free book if you want to go deeper.
Highly recommended! The first course was the first thing I came across that helped me contextualize the DL field into something that might be relevant for my work. It's a great way to get your hands dirty. One point of…
Logistic regression can easily be made online too, keep in mind! sklearn has an implementation of online gradient descent, and vowpal wabbit is also excellent at those problems. Naive bayes can be parallelized in ways…
If you're interested in getting parse trees from regexes (ie all the submatch locations), check out Kleenex, it looks really interesting and is based on some new research. Full parse trees are a harder problem than…
I'm super excited for this! Good dashboarding for python has been a huge gap in the ecosystem, and none of the existing options (bowtie/pyxley/spyre) really came close to the functionality of shiny. The closest IME has…
Agreed, this is a great way to think about it. I think Ansible is at its best when the modules handle the imperative stuff behind the scenes, and the playbook just declares. That's not always possible, but the modules…
I actually like Travis quite a lot except for one issue! At work we use docker for builds, and neither tool can build docker images in such a way that the docker layer cache is utilized. For more details:…
Which are the best of the SaaS options? Just curious -- I'm not happy with CircleCI or Travis right now.
Ooh Python! Check out https://github.com/mrocklin/multipledispatch which is a little more fleshed out than Guido's implementation. From the author of toolz and dask so you know it's good ;) I also find that multiple…
They mention that it was originally paired with Druid. The data volume that Druid excels at (and that AirBnB must have) is orders of magnitude larger than what Tableau&Looker do well with. It's probably just built for…
Yeah this is a common complaint. I don't have direct experience with NaCL/libsodium or Keyczar but check them out. Do you mean a bitstream-compatible thing, or a GPG/PGP alternative?
I found that learning ansible and storing my machine customization as a deployable playbook was totally worth the effort involved.
To put up something concrete, my last large employer had a 401k plan where the cheapest fund we had access to (PLFMX) had an expense ratio of 0.72%. That's in addition to account-level management fees, which I think…
This is 100% true. Mainstream 401k fees are out of control. I don't know how much is opportunism and how much is regulatory burden, but parity to wealthfront or anything else retail would be fucking miraculous.
This is an incredible resource, +1. I started using ledger heavily about a year ago and it's been a game changer. Personal accounting is about data capture; if you don't gather good data, you end up with garbage in…
We had a similar desire: secure, performant egress from S3. We ended up using CloudFront. You can configure cloudfront with signed URLs, that will access private buckets with a special S3 user…
Altair is amazing. I've been using matplotlib going on 12 years now -- Altair didn't feel more productive at first (more typing), but the longer you work with it, the more you realize how the API is a cohesive system.…
A hazard rate can be thought of as a patient's one day probability of mortality. A hazard ratio is a ratio of two hazard rates, so 1.25 would mean that people in one group were dying at a 1.25x rate relative to a…
For Bayesian stats, "Statistical Rethinking" by McElreath is a masterpiece.
Neat! See also: https://fklearn.readthedocs.io/en/latest/, which wraps sklearn in a much-improved functional API.
Have a look at duckdb, it's is another interesting tool that's columnar and embedded. It would be amazing if the world of open-source column stores matured a little bit relative to where we are today...
+1 to this, I've had multiple teams that have shied away from airflow because of its operability & deployment story, despite needing something that has all its features. In terms of radically different takes on workflow…
They're also used in spectral clustering, which is a powerful method for clustering data (see Ng 2001 for some pictures)
I think it's pretty easy for this discussion to become about personalities and not methodologies. Gelman is pretty brash and speaks his mind, so he could be correct on methodology and have that get lost in the noise. So…
In cases where you need to interpret the resulting model, I've been advised not to bin (for example: http://biostat.mc.vanderbilt.edu/wiki/Main/CatContinuous). Other alternatives are splines or generalized additive…
Classic post! This post is like a gentle gateway to the world of Bayesian statistics -- check out Cameron Davidson Pilon's free book if you want to go deeper.
Highly recommended! The first course was the first thing I came across that helped me contextualize the DL field into something that might be relevant for my work. It's a great way to get your hands dirty. One point of…
Logistic regression can easily be made online too, keep in mind! sklearn has an implementation of online gradient descent, and vowpal wabbit is also excellent at those problems. Naive bayes can be parallelized in ways…
If you're interested in getting parse trees from regexes (ie all the submatch locations), check out Kleenex, it looks really interesting and is based on some new research. Full parse trees are a harder problem than…
I'm super excited for this! Good dashboarding for python has been a huge gap in the ecosystem, and none of the existing options (bowtie/pyxley/spyre) really came close to the functionality of shiny. The closest IME has…
Agreed, this is a great way to think about it. I think Ansible is at its best when the modules handle the imperative stuff behind the scenes, and the playbook just declares. That's not always possible, but the modules…
I actually like Travis quite a lot except for one issue! At work we use docker for builds, and neither tool can build docker images in such a way that the docker layer cache is utilized. For more details:…
Which are the best of the SaaS options? Just curious -- I'm not happy with CircleCI or Travis right now.
Ooh Python! Check out https://github.com/mrocklin/multipledispatch which is a little more fleshed out than Guido's implementation. From the author of toolz and dask so you know it's good ;) I also find that multiple…
They mention that it was originally paired with Druid. The data volume that Druid excels at (and that AirBnB must have) is orders of magnitude larger than what Tableau&Looker do well with. It's probably just built for…
Yeah this is a common complaint. I don't have direct experience with NaCL/libsodium or Keyczar but check them out. Do you mean a bitstream-compatible thing, or a GPG/PGP alternative?
I found that learning ansible and storing my machine customization as a deployable playbook was totally worth the effort involved.
To put up something concrete, my last large employer had a 401k plan where the cheapest fund we had access to (PLFMX) had an expense ratio of 0.72%. That's in addition to account-level management fees, which I think…
This is 100% true. Mainstream 401k fees are out of control. I don't know how much is opportunism and how much is regulatory burden, but parity to wealthfront or anything else retail would be fucking miraculous.
This is an incredible resource, +1. I started using ledger heavily about a year ago and it's been a game changer. Personal accounting is about data capture; if you don't gather good data, you end up with garbage in…
We had a similar desire: secure, performant egress from S3. We ended up using CloudFront. You can configure cloudfront with signed URLs, that will access private buckets with a special S3 user…