shagunsodhani

10 ms·

61.
Notes for t-SNE paper(gist.github.com)
2 points by shagunsodhani 10y ago|5 comments
62.
A collection of design patterns/idioms in Python(github.com)
4 points by shagunsodhani 10y ago|0 comments
63.
Mozilla Open Source Support (MOSS): Now Open to All Projects(blog.mozilla.org)
3 points by shagunsodhani 10y ago|0 comments
64.
Unlimited private repositories at GitHub while you are a student(education.github.com)
2 points by shagunsodhani 10y ago|0 comments
65.
by shagunsodhani 10y ago
Hi @SomewhatLikely. I have fixed it at both the place. Apologies for the confusion.
66.
by shagunsodhani 10y ago
@coderdude, yes the purpose is to find sets of events that occur close to each other, physically, using MapReduce over large amounts of data. Thanks
67.
by shagunsodhani 10y ago
Hey @popey456963, the implementation is to mine spatial colocation patterns. A spatial colocation pattern is a set of features that co-occur in space. For example, two crimes, say Robbery and Assault, would form a colocation pattern if they
68.
Show HN: MapReduce Implementation of Spatial Co-Location Mining Algorithm(shagunsodhani.in)
43 points by shagunsodhani 10y ago|7 comments
69.
Notes for Curriculum Learning paper(gist.github.com)
1 points by shagunsodhani 10y ago|0 comments
70.
Stack Overflow’s New CMO – Adrianna Burrows(blog.stackoverflow.com)
2 points by shagunsodhani 10y ago|1 comments
71.
Notes for “Memory Networks” Paper(gist.github.com)
1 points by shagunsodhani 10y ago|0 comments
72.
Google Analytics collector-as-a-service (using GA measurement protocol)(github.com)
1 points by shagunsodhani 10y ago|0 comments
73.
Show HN: Load StackExchange Data as Spark Dataframes and run analysis over it(github.com)
2 points by shagunsodhani 10y ago|0 comments
74.
Notes for “Learning to Execute” paper(gist.github.com)
2 points by shagunsodhani 10y ago|0 comments
75.
A simple, embedabble CLI debugger for Lua(github.com)
1 points by shagunsodhani 10y ago|0 comments
76.
Data-Intensive Text Processing with MapReduce(mapreduce.cc)
3 points by shagunsodhani 11y ago|0 comments
77.
Notes for Distributed GraphLab paper(gist.github.com)
2 points by shagunsodhani 11y ago|0 comments
78.
MIT Deep Learning Book in PDF Format(github.com)
6 points by shagunsodhani 11y ago|0 comments
79.
Notes for “Large Scale Distributed Deep Networks” (DisBelief) Paper(gist.github.com)
2 points by shagunsodhani 11y ago|0 comments
80.
A proofreader for your data(github.com)
3 points by shagunsodhani 11y ago|0 comments
81.
Summary of Word2Vec paper(gist.github.com)
8 points by shagunsodhani 11y ago|0 comments
82.
Notes for “Regularization and variable selection via the elastic net” paper(gist.github.com)
3 points by shagunsodhani 11y ago|0 comments
83.
Notes on TAO: Facebook’s Distributed Data Store for the Social Graph(gist.github.com)
2 points by shagunsodhani 11y ago|0 comments
84.
Caffe on Spark(github.com)
2 points by shagunsodhani 11y ago|0 comments
85.
Notes for Batch Normalization paper(gist.github.com)
1 points by shagunsodhani 11y ago|0 comments
86.
Dataset: databases for lazy people(github.com)
111 points by shagunsodhani 11y ago|38 comments
87.
The Unified Logging Infrastructure for Data Analytics at Twitter(gist.github.com)
3 points by shagunsodhani 11y ago|0 comments
88.
A Few Useful Things to Know about Machine Learning(gist.github.com)
6 points by shagunsodhani 11y ago|0 comments
89.
MRI Scans of a person's brain(github.com)
152 points by shagunsodhani 11y ago|121 comments
90.
Notes on Hive Paper(gist.github.com)
1 points by shagunsodhani 11y ago|0 comments

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