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ajinkyakale
searching PlanetScale…
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Model-Based Machine Learning
(mbmlbook.com)
5 points
by
ajinkyakale
11y ago
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0 comments
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ajinkyakale
12y ago
I agree to what Hadley said in some ways. It takes a bit more time to get used to the [i, j, by] notation and I personally feels its unlike most of the R syntax. But I dont see that stopping me from using something as fast as data.table.
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ajinkyakale
12y ago
I should have mentioned you (arun_sriniv) as the co-developer of data.table! Thanks for all the hard work. And yes, memory usage will be interesting as that is the bottleneck when it comes to large dataset. I am working on something on thos
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ajinkyakale
12y ago
Not this again! The fact that the article shows only the under developed images (like the over crowded vehicle and the snake charmer) makes me sad. These articles and the tv shows have completely wrong images of india in their mind. You can
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ajinkyakale
12y ago
Then why the india in the title?
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ajinkyakale
12y ago
Data.table package by matt dowle definitely deserves a mention! Its fast and I like the indexing functonalities it provides. The benchmark timings are pretty impressive.
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ajinkyakale
12y ago
I use ijulia which is based on python notebooks. Try juliabox.org which is a notebook (and more) offering by the julia folks. Then there is juno and julia studio if you are inclined towards an rstudio like interface.
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ajinkyakale
12y ago
Ofcourse you can! I dont know why I didnt think of that
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Dataframes – Julia, R, Python
(ajkl.github.io)
106 points
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ajinkyakale
12y ago
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36 comments
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Mlpack: A C++ machine learning library
(github.com)
47 points
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ajinkyakale
12y ago
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6 comments
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ajinkyakale
12y ago
google photos is pretty neat and space expansion is not expensive either
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ajinkyakale
12y ago
you mentioned questions on scalability et al, answers to those questions are very subjective. I went through a similar experience at one of the biggest tech giants out there ... went something like this - i was in the final face to face int