VirtualTam's bookmarks

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

     2017-05-05
     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
262. Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Theano

     2017-05-05
     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/
263. Publicly Available Spam Filter Training Sets

     2017-05-05
     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
264. Pure Data Introduction

     2017-05-03
     algorithm audio composition digital multimedia/pure-data music synthesis

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265. Pure Data

     2017-05-03
     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/
266. Interfacing with C/C++ Libraries — The Hitchhiker's Guide to Python

     2017-04-26
     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

267. MessagePack: It's like JSON. but fast and small.

     2017-04-12
     data network serialization

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268. donnemartin/interactive-coding-challenges: Python coding interview challenges (algorithms and data structures)

     2017-04-10
     anki development memory notebook programming/job-interview programming/python programming/python/jupyter

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269. deck.gl

     2017-04-07
     data graphics/3d graphics/webgl map visualization

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

270. database - What is sharding and why is it important? - Stack Overflow

     2017-03-31
     data performance server shard split sysadmin

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271. radanalytics.io community portal

     2017-03-30
     data linux/container/docker linux/container/kubernetes openshift

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

272. Intro to Apache Spark | Databricks

     2017-03-08
     apache big-data machine-learning spark

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273. Cap'n Proto: Introduction

     2017-03-07
     binary buffer data network protocol

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

     2017-03-07
     cheat machine-learning programming/python programming/python/numpy scipy sheet

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275. Apache Hadoop

     2017-03-06
     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
276. A/B Testing with Hierarchical Models in Python

     2017-03-03
     bayesian classification data programming/python

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

     2017-03-03
     bayesian classification data programming/python

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278. Map Lab | WIRED

     2017-02-18
     data geography map visualization

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279. [1612.08242] YOLO9000: Better, Faster, Stronger

     2017-02-15
     classification data deep-learning image yolo

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     https://github.com/allanzelener/YAD2K

280. Python Dependency Analysis — Adventures of the Datastronomer

     2017-02-13
     data dependency graph matrix package programming/library programming/python visualization

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