VirtualTam's bookmarks

241. Introduction to Local Interpretable Model-Agnostic Explanations (LIME) - O'Reilly Media 2017-05-05

     tags: data, machine-learning, model

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     • http://www.kdnuggets.com/2016/08/introduction-local-interpretable-model-agnostic-explanations-lime.html
     • https://github.com/marcotcr/lime
     • https://www.youtube.com/watch?v=hUnRCxnydCc
242. Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Theano 2017-05-05

     tags: bayesian, data, machine-learning, markov, model, programming/python, stochastic

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     • https://github.com/pymc-devs/pymc3
     • https://github.com/pymc-devs/pymc
     • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3097064/
243. Publicly Available Spam Filter Training Sets 2017-05-05

     tags: bayesian-filter, dataset, email, email/spam, machine-learning, spamassassin

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     • http://www.paulgraham.com/spamarchives.html
     • http://untroubled.org/spam/
     • https://spamassassin.apache.org/old/publiccorpus/
     • https://github.com/dmitrynogin/SpamAssassin
     • http://archive.ics.uci.edu/ml/datasets/Spambase + http://statweb.stanford.edu/~tibs/ElemStatLearn/
     • https://inclass.kaggle.com/c/adcg-ss14-challenge-02-spam-mails-detection
     • https://www.kaggle.com/rtatman/fraudulent-email-corpus
     • https://www.kaggle.com/veleon/ham-and-spam-dataset
     • https://www.kaggle.com/beatoa/spamassassin-public-corpus
     • http://www.csmining.org/index.php/spam-assassin-datasets.html
     • http://artinvoice.hu/spams/
     • http://www2.aueb.gr/users/ion/data/enron-spam/
     • https://security.stackexchange.com/questions/223731/spamassassin-public-corpus
244. Pure Data Introduction 2017-05-03

     tags: algorithm, audio, composition, digital, multimedia/pure-data, music, synthesis

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245. Pure Data 2017-05-03

     tags: algorithm, audio, composition, digital, multimedia/max-msp, multimedia/pure-data, music, patch, synthesis

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     • https://www.reddit.com/r/puredata/
     • https://lists.puredata.info/listinfo/pd-list
     • http://www.soundonsound.com/techniques/pure-data-introduction
     • http://drpichon.free.fr/pmpd/
246. Interfacing with C/C++ Libraries — The Hitchhiker's Guide to Python 2017-04-26

     tags: cython, programming/api, programming/c, programming/c++, programming/library, programming/python, shared

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     • https://docs.python.org/3/library/ctypes.html

     • https://cffi.readthedocs.io/en/latest/index.html

     • http://www.swig.org/

     • http://stackoverflow.com/questions/1942298/wrapping-a-c-library-in-python-c-cython-or-ctypes

     • http://stackoverflow.com/questions/135834/python-swig-vs-ctypes

     • http://stackoverflow.com/questions/4351721/python-ctypes-passing-a-struct-to-a-function-as-a-pointer-to-get-back-data

247. MessagePack: It's like JSON. but fast and small. 2017-04-12

     tags: data, network, serialization

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248. donnemartin/interactive-coding-challenges: Python coding interview challenges (algorithms and data structures) 2017-04-10

     tags: anki, development, memory, notebook, programming/job-interview, programming/python, programming/python/jupyter

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249. deck.gl 2017-04-07

     tags: data, graphics/3d, graphics/webgl, map, visualization

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     https://github.com/uber/deck.gl

250. database - What is sharding and why is it important? - Stack Overflow 2017-03-31

     tags: data, performance, server, shard, split, sysadmin

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251. radanalytics.io community portal 2017-03-30

     tags: data, linux/container/docker, linux/container/kubernetes, openshift

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     via https://blog.openshift.com/openshift-debugging-101/

252. Intro to Apache Spark | Databricks 2017-03-08

     tags: apache, big-data, machine-learning, spark

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253. Cap'n Proto: Introduction 2017-03-07

     tags: binary, buffer, data, network, protocol

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     • https://github.com/sandstorm-io/capnproto
     • https://news.ycombinator.com/item?id=5482081
254. JulianGaal/python-cheat-sheet: Python for Data Science - NumPy, Pandas, SciKit Learn ... 2017-03-07

     tags: cheat, machine-learning, programming/python, programming/python/numpy, scipy, sheet

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255. Apache Hadoop 2017-03-06

     tags: big-data, computation, distributed, machine-learning, map, reduce

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     • https://hadoop.apache.org/docs/current/hadoop-project-dist/hadoop-common/SingleCluster.html
     • https://hadoop.apache.org/docs/current/hadoop-project-dist/hadoop-common/ClusterSetup.html
     • https://cloud.google.com/hadoop/setting-up-a-hadoop-cluster
     • https://www-ssl.intel.com/content/dam/www/public/us/en/documents/white-papers/best-practices-for-implementing-apache-hadoop-paper.pdf
     • https://www-ssl.intel.com/content/dam/doc/white-paper/cloud-computing-optimizing-hadoop-deployments-paper.pdf
256. A/B Testing with Hierarchical Models in Python 2017-03-03

     tags: bayesian, classification, data, programming/python

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257. pymc-devs/pymc: PyMC: Bayesian Stochastic Modelling in Python (for PyMC3: https://github.com/pymc-devs/pymc3) 2017-03-03

     tags: bayesian, classification, data, programming/python

     [ permalink ]
258. Map Lab | WIRED 2017-02-18

     tags: data, geography, map, visualization

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259. [1612.08242] YOLO9000: Better, Faster, Stronger 2017-02-15

     tags: classification, data, deep-learning, image, yolo

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     https://github.com/allanzelener/YAD2K

260. Python Dependency Analysis — Adventures of the Datastronomer 2017-02-13

     tags: data, dependency, graph, matrix, package, programming/library, programming/python, visualization

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