Andreas Mueller
peekaboo-vision.blogspot.com · Personal blog · on HN since 2012
Andreas Mueller, a scikit-learn core developer, writes about machine learning, kernel methods, and Python tools like the word cloud generator.
What HN saysHN links it mainly for his scikit-learn machine learning cheat sheet, a decision-flow chart for choosing methods, and his post on the No Free Lunch theorem.
20HN people shared it
9linked it in comments
15stories submitted
414story points
5 years agolast shared
2012people per year2026
Most-shared posts
- 1Machine Learning Cheat Sheet5 people · 3 points · first shared 2013 · discussion on HN
- 2Don't Cite the No Free Lunch Theorem4 people · 67 points · first shared 2019 · 15 comments on HN
- 3Machine Learning Cheat Sheet (for scikit-learn)2 people · 158 points · first shared 2013 · 8 comments on HN
- 4Machine Learning Cheat Sheet for scikit-learn1 people · 124 points · first shared 2013 · 23 comments on HN
- 5Scikit-learn 0.13: Nystroem method, hashing trick, faster random forests1 people · 46 points · first shared 2013 · 3 comments on HN
- 6Show HN: I made a word cloud in python1 people · 5 points · first shared 2012 · discussion on HN
- 7Kernel Approximations for Efficient SVMs (and other feature extraction methods)1 people · 5 points · first shared 2012 · 1 comments on HN
- 8A Wordcloud in Python1 people · 3 points · first shared 2013 · discussion on HN
- 9Peekaboo: Another look at MNIST1 people · 1 points · first shared 2012 · discussion on HN
- 10Don't fund Software that doesn't exist1 people · 1 points · first shared 2020 · discussion on HN
- 11Peekaboo: Machine Learning Package Scikit-Learn 0.14 release candidate1 people · 1 points · first shared 2013 · discussion on HN
- 12Homepage1 people · first shared 2012
- 13Machine learning cheat sheet for scikit1 people · first shared 2016
- 14Pystruct more structured prediction1 people · first shared 2013
What HN people wrote when they linked it
jamessb · 2016-04-25
There are various cheat-sheets/decision trees to suggest which machine learning method e.g.
http://www.saedsayad.com/data_mining_map.htm
http://peekaboo-vision.blogspot.co.uk/2013/01/machine-learning-cheat-s…
https://azure.microsoft.com/en-us/documentation/articles/machine-learn…
However, if you want to really understand how things fit together you're probably best reading one of the standard intro textbooks: Murphy's Machine Learning, Bishop's Pattern recognition and machine learning, Hastie et al's The Elements of Statistical Learning, or Wasserman's All of statistics.
Or Barber's textbook, which is freely available online and has some nice mind-maps/concept-maps/trees at the start of each section: http://web4.cs.ucl.ac.uk/staff/D.Barber/pmwiki/pmwiki.php?n=Brml.HomeP…
sebg · 2018-06-07
Have you seen this -> http://peekaboo-vision.blogspot.com/2013/01/machine-learning-cheat-she… ... Specifically the image at http://1.bp.blogspot.com/-ME24ePzpzIM/UQLWTwurfXI/AAAAAAAAANw/W3EETIro… It seems like a good start.
There are myriad resources but none that I can think of that cover all the different problem types.
What are you interested in specifically?
hoprocker · 2014-06-17
This looks clipped in my browser, but you can see the original diagram here: http://peekaboo-vision.blogspot.com/2013/01/machine-learning-cheat-she…
alok-g · 2013-12-05
In the machine learning cheat sheet [1], one of the boxes is "tough luck".
[1] http://peekaboo-vision.blogspot.com/2013/01/machine-learning-cheat-she…
tucson · 2013-10-07
Thanks.
I also found a blog post that figured the diagram, with some background infos:
http://peekaboo-vision.blogspot.de/2013/01/machine-learning-cheat-shee…
t3kcit · 2013-01-27
I did a another post on that one. http://peekaboo-vision.blogspot.de/2013/01/pystruct-more-structured-pr…
The post still needs some more detail, though.
ogrisel · 2012-12-26
ColinWright · 2014-09-01
It's currently down - is it the same one discussed at some length a year ago?
https://news.ycombinator.com/item?id=5831512
Here are some other resources for machine learning, not necessarily restricted to the algorithms implemented in SciKit:
http://eferm.com/wp-content/uploads/2011/05/cheat3.pdf
http://peekaboo-vision.blogspot.ca/2013/01/machine-learning-cheat-shee…
http://rise.cse.iitm.ac.in/wiki/index.php/Introduction_to_Machine_Lear…
http://mlg.eng.cam.ac.uk/creed/Notes/ML_Compendium.pdf