Hacker Newsnew | past | comments | ask | show | jobs | submit | more abhgh's commentslogin

I noticed the conflation of terms too but it seems to arise out of the original Microsoft announcement!

https://devblogs.microsoft.com/commandline/edit-is-now-open-...


somethings never change...

my biggest problem with azure was also the fact that they couldn't stick to industry-standard terminology, but they has to invent their own. it made azure docs tremendously confusing.


Note the website (ai-contest.com) that the post links to seems to have been hijacked by a gambling site.

For the use-cases where Genetic Programming was popular, I would recommend looking at Bayesian Optimization (bayesopt) as an alternative today (I know I keep recommending the area - but I hope I do when it is relevant :-)). This is mostly because IMHO it has a principled foundation that has been productively developed further in the past few years. Here's a good book on the topic [1], and I've a tutorial as well [2]. Interestingly one of the books I had encountered when reading up on Genetic Algo. years ago was by Melanie Mitchell [3]!

Bayesopt or Genetic Programming, or any search algorithm that can operate over non-differentiable objective functions are very useful in practice. For ex, when performing model selection in the space of hyperparameters, when your model is not differentiable such as a traditional Decision Tree [4]. Or exotic use-cases like molecule discovery [5].

You can try out bayesopt using the botorch or hyperopt libraries. The latter only implements a specific bayesopt algo. which was/is popular but it seems to have been bettered of late [4].

[1] https://bayesoptbook.com/

[2] Part 1 https://blog.quipu-strands.com/bayesopt_1_key_ideas_GPs

[3] Found a free copy online https://www.boente.eti.br/fuzzy/ebook-fuzzy-mitchell.pdf

[4] "... Analysis of the Black-Box Optimization Challenge 2020" https://proceedings.mlr.press/v133/turner21a.html

[5] ChemBO is an example but there are others https://proceedings.mlr.press/v108/korovina20a.html


No, you're confusing GA with GP.


You're right! My bad. Thank you for pointing it out! Leaving my comment up for info on bayesopt.


The people who founded Ponoc seemed to have creative differences with Miyazaki. They wanted to make a movie [1] that they felt Ghibli won't greenlight [2] - but there seems to have been no deep seated animosity or desire to rip-off. Incidentally I just borrowed this movie from the local library a few hour ago because the cover art reminded me of Ghibli but I noticed it wasn't a Ghibli production. Some searching online led me to the cited article.

[1] Mary and the Witch’s Flower https://imdb.com/title/tt6336356/

[2] https://otakuusamagazine.com/hayao-miyazaki-says-he-wont-see...


Same here, and also agree with the "prime" notation, i.e., y'! One of my instructors had joked that the dot/prime notations saved printing costs in the days when printing was expensive - not sure if there is any truth to that.


I highly recommend the course you've mentioned (by Yaser Abu-Mostafa). In fact I still recommend it for picking up the basics; very good mix of math and intuition, Abu-Mostafa himself is a terrific teacher, and he is considerate and thoughtful in responding to questions at the end of his presentations. The last part is important if you're a beginner: it builds confidence in you that its probably ok to ask what you might consider a simple question - it still deserves a good answer. The series is a bit dated now in terms of what it covers, but still solid as a foundational course.


I came across this a few days ago, and my excuse to give it a a serious look is that Andreas Krause has some deep and interesting research in Gaussian Processes and Bandits [1].

[1] https://scholar.google.com/scholar?start=10&q=andreas+krause...


It's Krause, he's one of the biggest researchers in the field. At least based on the other work of his I've read, he's a good writer too. This ought to be a worth while read.


I have mentioned this elsewhere online but I was once attending a talk in the computer history museum for which I had turned up early. An elderly gentleman took his seat right before me - it took me a while to process that it was Knuth (in reality, it was less to do with processing and more with accepting!).

Somewhat recently we spotted him at a Hitchcock movie festival at Palo Alto, which my wife and I were attending.

Random run-ins are surreal :-)


Back when I was at Stanford a decade ago, I spotted him biking to/from Green Library quite a few times. You can probably run into him with some regularity if you make a habit of going to said library, assuming his routine hasn’t changed much ;)


Oh thats a cool fact to know! Thanks.


It's not just the width of the column - there are annotations on certain lines (that appear on a right "margin") that don't show up on mobile. I think that makes it not an easy fix, but to your larger point, this is not very mobile friendly. It looks quite good on a desktop though.


YouTube recommendations have worked very well for me. I listen to a lot of talks and if it weren't for the recommendations I wouldn't have discovered some very interesting talks or even areas. The only time the recommendations derail is when I have guests over and they login into my account (because that's the one always logged in on my roku). But that is expected. And it's easy to get rid of, by deleting the history in a custom date range, or simply by continuing to watch the kind of stuff I was watching earlier.


I have had some success with PowerPoint animations. Put up the equation, and for each mouse click surround the symbol(s) you want to explain in a red box or something and have a infobox show up (which can also contain images, such as plots - very helpful). As you transition to the next symbol(s), fade away the previous infobox and surrounding box.


Guidelines | FAQ | Lists | API | Security | Legal | Apply to YC | Contact

Search: