I'd be interested to see some computer vision algorithms explained this way too, SIFT, SURF?
Top data mining algorithms in plain English
11–20 of 24 posts
Re: Top data mining algorithms in plain English
#12I'd be interested to see some computer vision algorithms explained this way too, SIFT, SURF?
I'd be interested in just about every algorithm explained this way! And as a side note some of these algorithms certainly are used in computer vision, k-means for example in clustering/segmentation.
https://courses.cs.washington.edu/courses/cse576/12sp/notes/...
Re: Top data mining algorithms in plain English
#13Can we have more things like this, please? This is an AMAZING introduction to these concepts.
I wish more people on Hacker News would make such clear blog posts for their personal share of cryptic knowledge, helping other people through the door.
Re: Top data mining algorithms in plain English
#14I feel like some of these algorithms are outdated, i.e. rarely used anymore: C4.5, Apriori, CART.
Instead I would suggest: Logistic Regression, RandomForest and Neural Networks.
Re: Top data mining algorithms in plain English
#15Awesome. What is a 'kernel' btw?
Re: Top data mining algorithms in plain English
#16Wow! It explains, in 20-30 minutes, what took me a whole semester to study at the University.
I only wish it had a little about Neural Networks and Deep Learning.
Re: Top data mining algorithms in plain English
#17Awesome. What is a 'kernel' btw?
In kernel density estimation, each observed data point is spread out by a "kernel" function such as a Gaussian, essentially exp(-0.5*x^2), or uniform function, f(x) = 1 for |x| < 0.5. So I think of a "kernel" as a function used to distribute a point mass.
Re: Top data mining algorithms in plain English
#18I found this article useful. What I was really hoping for was a layman's translation of the maths on wikipedia [ie. how to implement]. But this is a good jumping off point for figuring out which black box to use.
This is what I was thinking as well! The explanation is good but it's the actual steps of the algorithm that are the difficult part!
Re: Top data mining algorithms in plain English
#19[deleted]
Re: Top data mining algorithms in plain English
#20I feel like some of these algorithms are outdated, i.e. rarely used anymore: C4.5, Apriori, CART. Instead I would suggest: Logistic Regression, RandomForest and Neural Networks.
CART forms the basis of the decision trees used by scikit-learn's implementation of random forests [1]. CART may be old, but definitely not outdated.
[1] https://github.com/scikit-learn/scikit-learn/blob/master/skl...