I've done some things with Svelte motion, such as tweened / spring [0]. This gradient descent visualizer is made with it for example [1] to interpolate the points when the prediction line moves. [0]…
Indeed. There is much controversy about this way of thinking, and about the methodology. See for instance [0] [0] https://www.jasonhickel.org/blog/2019/3/17/two-hump-world
Ah indeed, I mixed up his name with the Shalev part of the name of the other author.
I really enjoyed Ben-David (and Shalev-Schwartz)'s book "Understanding machine learning". It's essentially about theory though, not "learn all about machine learning in torchsorflow in 10 days".
> No, certainly not just excel. Indeed, let's not forget LibreOffice
I am currently going through Statistical Rethinking [0], by R. McElreath. So far it's been great, all the code example and practice problems help comprehension. I've also heard good things about Probabilistic…
You could also point out that he has abandoned the kurds in Syria (Rojava), where they are losing ground against the turkish army and their jihadist mercenaries. They are about to ethnically cleanse the region, with…
I would not consider your view of the problem as "leftist". I'm not challenging your self-designation, but the way you present the situation. In my opinion, there are a few points that are dubious in this analysis: - A…
I've never had any trouble with PYTHONPATH, I guess this is solved by pyenv with virtualenv. You just need to select the project interpreter the first time you open the project and it should just work. I haven't used…
In my company we use pyenv with virtualenv and everything works seamlessly. VSCode automatically runs the activate script from pyenv in a new terminal (in my case it is even the fish shell), debugging works fine, and I…
This is neat. However I've rather use einsum and einops [0] to reshape stuff in practice. [0] https://github.com/arogozhnikov/einops
It makes me think of Voyager [1][2], based on Vega and Vega-lite, that leverage a grammar of graphics. A neat trick you can do in Julia is use it interactively to generate plot specs [3]. Sadly, looking at the github…
Bayesian approaches are gaining momentum in cognitive sciences. See for instance "The Bayesian brain" article by Knoll and Pouget. There is also Cox's theorem, that essentially states that probability theory is the only…
By definition: p(A|B) = p(A,B) / p(B) (1) With the same definition, switching A and B roles, we have p(A, B) = p(B|A) p(A) (2) Plug (2) into (1) and you have Bayes rule.
Such an amazing talk ! Someone linked to this on HN a while back, this allowed me to discover David Beazley. I then got the Python Cookbook, and watched a bunch of other very cool talks. He's an excellent speaker and…
I took watched some of the lectures and did a few exercises when I had a similar course at University, it was great indeed.
> They're entirely ill-suited for mobility though. I am a happy owner of a Microsoft Sculpt keyboard and mouse, and it is quite mobile. It has a built-in wrist rest as well.
There is a fairly interesting library developed by the Stanford Team behind https://www.snorkel.org/ that takes structured documents, including PDF formatted as tables, and builds a knowledge base:…
You should check out click : https://click.palletsprojects.com/en/7.x/ It is very powerful, uses special files stdin/stdout when file argument is "-", supports groups, subcommands...
In my previous company, they has a name to distinguish these two kinds of metrics. - Inputs are the things employees can act on easily, like the number of LoC written or the number of features developped. - Outputs are…
This actually exists inside excel since 2010, it is called get & transform (known before as power query) and lives in the data tab. It allows the user to mash data from different sources (databases, csv, excel files,…
I've done some things with Svelte motion, such as tweened / spring [0]. This gradient descent visualizer is made with it for example [1] to interpolate the points when the prediction line moves. [0]…
Indeed. There is much controversy about this way of thinking, and about the methodology. See for instance [0] [0] https://www.jasonhickel.org/blog/2019/3/17/two-hump-world
Ah indeed, I mixed up his name with the Shalev part of the name of the other author.
I really enjoyed Ben-David (and Shalev-Schwartz)'s book "Understanding machine learning". It's essentially about theory though, not "learn all about machine learning in torchsorflow in 10 days".
> No, certainly not just excel. Indeed, let's not forget LibreOffice
I am currently going through Statistical Rethinking [0], by R. McElreath. So far it's been great, all the code example and practice problems help comprehension. I've also heard good things about Probabilistic…
You could also point out that he has abandoned the kurds in Syria (Rojava), where they are losing ground against the turkish army and their jihadist mercenaries. They are about to ethnically cleanse the region, with…
I would not consider your view of the problem as "leftist". I'm not challenging your self-designation, but the way you present the situation. In my opinion, there are a few points that are dubious in this analysis: - A…
I've never had any trouble with PYTHONPATH, I guess this is solved by pyenv with virtualenv. You just need to select the project interpreter the first time you open the project and it should just work. I haven't used…
In my company we use pyenv with virtualenv and everything works seamlessly. VSCode automatically runs the activate script from pyenv in a new terminal (in my case it is even the fish shell), debugging works fine, and I…
This is neat. However I've rather use einsum and einops [0] to reshape stuff in practice. [0] https://github.com/arogozhnikov/einops
It makes me think of Voyager [1][2], based on Vega and Vega-lite, that leverage a grammar of graphics. A neat trick you can do in Julia is use it interactively to generate plot specs [3]. Sadly, looking at the github…
Bayesian approaches are gaining momentum in cognitive sciences. See for instance "The Bayesian brain" article by Knoll and Pouget. There is also Cox's theorem, that essentially states that probability theory is the only…
By definition: p(A|B) = p(A,B) / p(B) (1) With the same definition, switching A and B roles, we have p(A, B) = p(B|A) p(A) (2) Plug (2) into (1) and you have Bayes rule.
Such an amazing talk ! Someone linked to this on HN a while back, this allowed me to discover David Beazley. I then got the Python Cookbook, and watched a bunch of other very cool talks. He's an excellent speaker and…
I took watched some of the lectures and did a few exercises when I had a similar course at University, it was great indeed.
> They're entirely ill-suited for mobility though. I am a happy owner of a Microsoft Sculpt keyboard and mouse, and it is quite mobile. It has a built-in wrist rest as well.
There is a fairly interesting library developed by the Stanford Team behind https://www.snorkel.org/ that takes structured documents, including PDF formatted as tables, and builds a knowledge base:…
You should check out click : https://click.palletsprojects.com/en/7.x/ It is very powerful, uses special files stdin/stdout when file argument is "-", supports groups, subcommands...
In my previous company, they has a name to distinguish these two kinds of metrics. - Inputs are the things employees can act on easily, like the number of LoC written or the number of features developped. - Outputs are…
This actually exists inside excel since 2010, it is called get & transform (known before as power query) and lives in the data tab. It allows the user to mash data from different sources (databases, csv, excel files,…