Here is the latest bag of tweets*, which covers July 2014.

(*) These are interesting news that I found on Twitter and that I archive periodically.

  • stefanjudis: By just watching what @getify does in his repo You-Dont-Know-JS on Github you can learn a lot about #javascript. https://t.co/8De3TrjRBz (27 Jul)
  • catherinedevlin: My #ipython ddlgenerator lightning talk notebook: http://t.co/4CFduu5d2W (26 Jul)
  • stephensenn: Thanks to @learnfromerror “Responder Despondency: Myths of personalised medicine” http://t.co/myb4hAdg0c Added bonus: zombie statistics! (26 Jul)
  • moorejh: RT @sethdobson: Model Validation: Interpreting Residual Plots in R. http://t.co/UeFQMEteaW #datascience #rstats http://t.co/gUwDlFs0e8 (26 Jul)
  • maxrzepka: Awesome visual intro to Clojure core.async by @ericnormand http://t.co/DzJMnVwII6 (26 Jul)
  • albertocairo: Nice small multiples by @HuffPostGraphic’s @jadiehm http://t.co/TI8QqzxC13 #infographics #dataviz http://t.co/JM5pnb3aBD (26 Jul)
  • b__k: My paper, “A Useful Algebraic System of Statistical Models”, is now an official research report from @uscensusbureau. http://t.co/oRzUKwkghX (26 Jul)
  • kwbroman: Interactive diagnostic chart for linkage between pairs of genetic markers #D3js #rstats http://t.co/KfyAUbdGCv http://t.co/e7z7drCOiK (26 Jul)
  • ian_soboroff: Awesome blog on hacking machine learning code at http://t.co/uTNhtoY7xs. (26 Jul)
  • twiecki: Slides of my #ep14 talk on Probabilistic Programming in Python: http://t.co/6A2zjczB1A (with link to video). @quantopian (25 Jul)
  • newsycombinator: Mastering Emacs in one year https://t.co/tAhr7PMjHO (25 Jul)
  • kdnuggets: MLlib: Apache Spark component for machine learning http://t.co/QUaKlLlrld (25 Jul)
  • alexhanna: .@randyzwitch at @BadHessian: ggplot v #rstats v plot.ly v seaborn v gadfly v matplotlib. The winner may surprise you http://t.co/O2pBzNOobU (25 Jul)
  • juliabloggers: Julia for Data Science http://t.co/xxPYdS6Y5s #julialang (25 Jul)
  • takluyver: @emble64 IPython does R now too ;-). A bit awkwardly at present, but it will be smoother in the next release. https://t.co/k8PiP4Wc8p (24 Jul)
  • heavysixer: New release of d4 (0.8.6), which adds mouse tracking to line series charts http://t.co/zGQXKI32pJ http://t.co/jZhFSrP9Ch (24 Jul)
  • YhatHQ: Quantitative Economics + Python (pdf) | http://t.co/mJYLTjPi2j (24 Jul)
  • YhatHQ: New Yhat Blog Post! | Fuzzy Matching with Yhat | @theglamp http://t.co/L9k1wjet9a (24 Jul)
  • YhatHQ: Random forests | The Shape of Data | http://t.co/bzs8qIMOhw (24 Jul)
  • albertocairo: Oh, I forgot the most successful post ever: 2012- Recommended resources for my infographics and visualization courses http://t.co/x9KyEdIRws (24 Jul)
  • newsycombinator: Why I’m Productive in Clojure http://t.co/Rmbo39pwAN (24 Jul)
  • d3visualization: Forio Contour: Interactive charts lib made with #d3js http://t.co/E0twUbwW6q (24 Jul)
  • HNTweets: Hemingway App now available: http://t.co/1EEKTosK6l Comments: https://t.co/q8VXB9dgrN (24 Jul)
  • YhatHQ: Geospacial Data with Python - SciPy (videos) | http://t.co/wevS8DECQ9 (24 Jul)
  • dzerbino: @pathogenomenick https://t.co/rFCTjbsXih ? (24 Jul)
  • wellcometrust: Discovering data - new models proposed for effective data sharing in epidemiology: http://t.co/4aAJOubNRA #data (24 Jul)
  • treycausey: Confidence Intervals for Random Forests: The Jackknife & the Infinitesimal Jackknife (Wager, Hastie, Efron 2014 PDF) http://t.co/upWC0ptxJT (23 Jul)
  • RevoJoe: #rstats A case study on meta-analysis, reproducible research and having the right tools for literate programming: http://t.co/tAZgjsWneD (23 Jul)
  • rstudio: Announcing Packrat v0.4 (now with RStudio IDE integration) http://t.co/BGwllVPFdH #rstats (23 Jul)
  • juliabloggers: Cobbling together parallel random number generation in Julia http://t.co/olqyPmdxTQ #julialang (23 Jul)
  • mja: tidyr looks to be a more readable alternative to reshape and melt/cast in #rstats http://t.co/ZLd60pOmTQ (23 Jul)
  • RevoJoe: #rstats Looks like a good bit of R content at the upcoming ASA Biopharmaceutical FDA Industry Statistics workshop http://t.co/rcNCw5yGfH (22 Jul)
  • rstudiotips: Type the same commands a lot? Press Ctrl + Up (OSX: Cmd + Up) at the console prompt to see and reuse recent commands. http://t.co/lWOzBv99aK (22 Jul)
  • johnmyleswhite: Here’s a quick post in which I implore people to stop using arithmetic on data.frame objects in #rstats: http://t.co/FcE60lliZu (22 Jul)
  • kwbroman: Blog: UseR 2014, days 3-4 http://t.co/B3CyRdy3MR (20 Jul)
  • mattmight: Understand and implement laziness with examples in Scala, JavaScript, Swift and Racket http://t.co/PRiawdo7oa (20 Jul)
  • juliabloggers: Julia syntax features http://t.co/4m1tlzRHuP #julialang (20 Jul)
  • nonrecursive: finally cleaned up my .emacs.d and put it online: https://t.co/g6Bnjgsu4r . used most of @technomancy’s https://t.co/4wUzwF8Sh4 - thanks! (20 Jul)
  • mattmayo13: Fantastic data generator: http://t.co/x4RvEXDev4 (via @diou) #CS #DataScience #DataMining #Data #Databases #DB #GradSchoolSolutions #SWEng (20 Jul)
  • gd047: Is difference in proportion appropriate measure to compare performance of a drug over another one? http://t.co/7IiWiLEtjK #rstats (20 Jul)
  • aficionado: A Lisper’s first impression of Julia http://t.co/Hixjs7rVWS (20 Jul)
  • treycausey: When people stop being polite and start getting real (in GitHub issues). https://t.co/3Wcsi47EbL (20 Jul)
  • inesgn: ‘If I had one piece of advice (for beginner data scientists)’ - take more matrix algebra.’ Interview with @treycausey http://t.co/Plzb4cnSPj (20 Jul)
  • mfenner: How Frequently Do the Results from Completed US Clinical Trials Enter the Public Domain? - A Statistical Analysis of… http://t.co/UZU1kr2CiV (20 Jul)
  • debasishg: Very good roadmap by @bitemyapp if u want to learn Haskell. I would just add @sigfpe’s blog in the advanced parts .. https://t.co/s3WsBP0uCc (20 Jul)
  • AndrewMarritt: A very good intro to survival analysis: http://t.co/N3qh7PCoSK (19 Jul)
  • YhatHQ: A Practical Introduction to Information Entropy by Kevin Davenport | http://t.co/bsLbkWhYft (blog post) http://t.co/QQmQJlZOL4 (IPynb) (19 Jul)
  • zevross: For loops get such bad press in #rstats that I actually feel guilty when I use one. See http://t.co/mPwHG1BWf9 for a good discussion. (19 Jul)
  • target_learning: “Entering the Era of Data Science: Targeted Learning & the Integration of Statistics & Computational Data Analysis” http://t.co/Xfm3PxcBqR (18 Jul)
  • askdrstats: Full pdfs available on the CRAN mosaic package page #rstats distributed under a @creativecommons license @AmeliaMN http://t.co/Hx46Lda3sx (18 Jul)
  • TeXtip: A little macro that defines \given to be the conditional probability symbol: \def\given{\,|\,} (18 Jul)
  • YhatHQ: R Wikibooks - a very excellent R resource. Checkout the long list of topics in the right sidebar! | http://t.co/S87F0uThLo (17 Jul)
  • datassist: More awesome truth and beauty #dataviz from Mortiz Stefaner in the Visual Complexity companion Book of Trees http://t.co/bacLEyJtLN (17 Jul)
  • ogrisel: OpenBLAS 0.2.1 is out! https://t.co/P8wVUamITm with many optimized kernel fixes: https://t.co/0pTT4F54lb (17 Jul)
  • kaz_yos: page 50: Standardization, IPW, stratification/restriction, matching are approaches to estimate average causal effects http://t.co/ZvgH8Z9z1w (17 Jul)
  • twiecki: George – a new Gaussian Process regression library in Python http://t.co/D1zLWWxKqo https://t.co/ma10V8dHS2 by @exoplaneteer (17 Jul)
  • johnb30: If you’re doing text stuff in Python make sure to check out gensim (http://t.co/1WcmiIuAQG). Topic Modeling for Humans by @RadimRehurek. (16 Jul)
  • Stata: The program for the 2014 UK #Stata Users Group meeting is now posted at http://t.co/9bpxmj9Zzz. We hope to see you in London in September! (15 Jul)
  • RDataMining: A nice introduction into Classification and regression trees http://t.co/By00qmDX9s (15 Jul)
  • drewconway: What is deep learning, and why should you care? http://t.co/CCVaeEcGuw (15 Jul)
  • ErgoEmacs: List of Emacs Starter Kits http://t.co/9RZKDTZJHp (14 Jul)
  • DataTau: Feature Scaling and Normalization and the effect for machine learning algorithms: http://t.co/w3wA3VOTzm (14 Jul)
  • DataTau: Using Python’s sci-packages to prepare data for Machine Learning: http://t.co/NELTqXPVpz (14 Jul)
  • dloss: Lessons learned from 16yrs of teaching lab skills for scientific computing (Unix, version ctrl, progr, SQL) #mustsee http://t.co/Yoy8F9IYSn (14 Jul)
  • eagereyes: Perhaps now I’ll finally be able to figure this thing out. http://t.co/WKsCSJ9BHe (14 Jul)
  • patrickDurusau: RP Medical Vocabulary #vocabulary #medical #JohnDCook http://t.co/cKyf4vJHUX (14 Jul)
  • deleeuw_jan: Flattering. But I’ll take it. http://t.co/naibewofui (14 Jul)
  • jakevdp: MT @pkgw: Hot fire from the Arxiv: http://t.co/TT4qWQWquf “It is Time to Stop Teaching Frequentism to Non-statisticians” (14 Jul)
  • CompSciFact: Learn Lisp the Hard Way http://t.co/codf31oXpu // Not by Zed Shaw but it uses his template. (14 Jul)
  • DiegoKuonen: Statistical Scientist Meets Philosopher of #Science: David Cox <-> Deborah Mayo (@learnfromerror) PDF > http://t.co/ta3Yt8wEXV #Statistics (14 Jul)
  • rasbt: 8 great data blogs to follow https://t.co/vM4lpcbt5L (14 Jul)
  • shiffman: Corrected link to follow progress and report issues for Learning Processing 2nd Edition. https://t.co/ELjceaE8Za (14 Jul)
  • johnmyleswhite: Need to try out @RickWicklin’s trick of “log”-transforming potentially negative values: http://t.co/afEJxROu5O (14 Jul)
  • zentree: @grserrano_ @inesgn On a similar vein “R as a second language” http://t.co/5fEoU9wSxE & “R is a language” http://t.co/nGYVrCTWae (14 Jul)
  • ptaoussanis: Grimoire, a new community-driven #Clojure docs/examples site: http://t.co/al0cdhJGrd Seems cool! Rationale here: http://t.co/ipH4fI4n4C (14 Jul)
  • ucsantabarbara: @JuliaLanguage, made by alum Stefan Karpinski & Viral Shah, gives a glimpse into potential programming of the future http://t.co/km5MnhCDwP (14 Jul)
  • victoriastodden: I’ve been collaboratively building a library of references for reproducibility in @zotero - please use and/or add! https://t.co/SW1DXYwjDn (13 Jul)
  • ErgoEmacs: why you shouldn’t use dotimes and cons. Guy Steele on Parallel Programing: Get rid of cons! http://t.co/WeRhr5us7u #lisp (13 Jul)
  • DataTau: Flambo - A Clojure DSL for Apache Spark: http://t.co/DBiLP72tGE (13 Jul)
  • zentree: “Sometimes I feel (some) need for speed [in #Rstats]” in Quantum Forest. New and improved with Rcpp goodness! http://t.co/CYx1Tv2Xus (13 Jul)
  • twiecki: Porting Kruschke’s “Doing Bayesian Data Analysis” to PyMC3: https://t.co/eSNTVQHOWM (12 Jul)
  • StephenPiment: Outstanding area for data science @SardelichM For those intetest in #ML and #cancer research, an excellent review: http://t.co/g1t3wyKama … (12 Jul)
  • kjhealy: Cosma Shalizi conveys A Statement from the Editorial Board of the Journal of Evidence-Based Haruspicy. http://t.co/SOwoSfQ4y3 (12 Jul)
  • chapmanb: Notes Bioinformatics Open Source Conference #BOSC2014 day 1 afternoon Visualization, project updates, lightning talks http://t.co/sdRLJstHdV (12 Jul)
  • octonion: Introduction to Julia - Part 1 - http://t.co/ymtuu1GJMQ (11 Jul)
  • UnixToolTip: You can drag a file and drop it on an Emacs dired window to copy the file into the dired directory. (11 Jul)
  • zentree: “A random walk through Mathematica 10” by @walkingrandomly http://t.co/WGY2a5Why1 (11 Jul)
  • mja: Mendelian randomization study shows that moderate drinking does not lower risk of coronary heart disease. http://t.co/TMHA3A2Yqy (11 Jul)
  • visualisingdata: Cross-posting from @Seeing_Data: 8 Articles Discussing Visual and Visualisation Literacy http://t.co/bN5RMbeIjy (11 Jul)
  • analyticbridge: Item Response Theory and Item Information Exploration: (This article was first published on Econometrics … http://t.co/PsmmaEDnMk (11 Jul)
  • StatMLPapers: Learning Probabilistic Programs. (arXiv:1407.2646v1 [cs.AI]) http://t.co/O2f5kbPKRs (11 Jul)
  • github: Introducing a simpler, faster GitHub for Mac https://t.co/NdoWhOnEdr (11 Jul)
  • newsycombinator: Learn Lisp The Hard Way http://t.co/JyJu4g0pQg (11 Jul)
  • lighttable: 0.6.7 is out today with some important bug fixes. Thanks to everyone who contributed! Read the release post here: http://t.co/C8RmTwoQEP (10 Jul)
  • revodavid: .@revojoe reviews John Chambers’ keynote address on history of R at #user2014 #rstats http://t.co/DdhfRyZmbe (10 Jul)
  • DrBunsen: Testing the M+ font today. Unsure it can usurp the venerable Letter Gothic, but I like it: http://t.co/oroEDJQuPL http://t.co/gRqkcT9hQ5 (10 Jul)
  • xieyihui: R 3.1.1 is released. Code name “Hello Radford Neal” http://t.co/vhcCwSlRdK #rstats (10 Jul)
  • thosjleeper: @hadleywickham It appears your call has been answered. https://t.co/urHhWBMGRK (10 Jul)
  • arnicas: Great post. RT @evalu8r: Not happy I had to write this new blog post: An Incomplete List of Females in #dataviz : http://t.co/djKHAHG9rq (10 Jul)
  • benhamner: 10 R packages to help you win @kaggle competitions - nice presentation from Xavier Conort http://t.co/0VxJuAqbnN (10 Jul)
  • moorejh: The looming challenges of genetic counseling http://t.co/Icjwo8nIQS #genomics #genetics (10 Jul)
  • JohnDCook: Journals could have two sections: 1) Papers published so the authors can say they’ve published. 2) Papers people should read. (9 Jul)
  • jonathanstray: The open-source document mining software my team has been working on now reads pretty much every file type. http://t.co/NSoiuX53la (9 Jul)
  • StatFact: Collaborative Interactive ggplot2 and R plots http://t.co/lmPi9Wzwqw (9 Jul)
  • patrickDurusau: RP EuroClojure 2014 (notes) #Clojure #EuroClojure http://t.co/XEa1NgqzXa (9 Jul)
  • onethingwell: Screenmailer - Record screen and voice. Share video via private link. http://t.co/eduOhXK7Zd (9 Jul)
  • jmsidhu: Visualizing MBTA Data http://t.co/wvPyFAe2r6 > Nice assembly of #dataviz elements, story and interactivity. FYI @MTLawrence @noahi (9 Jul)
  • d_spiegel: wow, a report on the future of statistical science! http://t.co/lvH2xpLPG6 (9 Jul)
  • getpy: “Using Docker as a Python Development Environment”: http://t.co/FUUkfOyxSq (9 Jul)
  • IanDworkin: @IanDworkin link to the data and scripts on github for the paper: https://t.co/YDBwzFoQuB (9 Jul)
  • floss4science: This Github repository contains lists of world countries in JSON, CSV and XML http://t.co/x4sRSuk8lN (9 Jul)
  • dataJujitsu: Tool to download all meta-analysis data from the @CochraneLibrary of Systematic reviews https://t.co/PAQZmLnqtE (need institutional access) (9 Jul)
  • stephensenn: @zentree @david_colquhoun Be careful! Here’s why even Bayesians should not (naively) use Bayes theorem for screening http://t.co/gaoNY0eg4q (9 Jul)
  • enjalot: i’m pretty excited about these interactive d3.geo slides for tomorrows #d3js @maptimeSF session http://t.co/6AotXTMWGl (click the numbers!) (9 Jul)
  • vsbuffalo: Forgot to announce: R chapter of my book is available on early release. I love R and said too much — tell me parts that are too in depth! (9 Jul)
  • ethanwhite: Some of IPython to become @ProjectJupyter to reflect that it supports #rstats, @JuliaLanguage, and more! https://t.co/3luNwatYDz (9 Jul)
  • TeXtip: “There is only one large computer program I have used in which there are to a decent approximation 0 bugs: Don Knuth’s TeX.” – Jaap Weel (9 Jul)
  • YhatHQ: Dynamic Time-Series Modeling | post by Kevin Davenport | http://t.co/iyIWNGUi79 @KevinLDavenport http://t.co/mCRuMK40hN (8 Jul)
  • albertocairo: Reminder of recent tools: @plotlygraphs https://t.co/DZ0KZhFfbB @datavisualinfo http://t.co/4mjiGjVHFP @blockspring https://t.co/7uARcgQBMh (8 Jul)
  • sethdobson: Nice slide presentation on Data Munging in R -> http://t.co/IAcJDq1G49 #datascience #rstats (8 Jul)
  • kjhealy: Thing is, Harvard Psych has many excellent people who do strong in-lab pre-pub replications of their own work. http://t.co/MXv7648lmj (8 Jul)
  • IanMulvany: some nice tutorials for using plot.ly https://t.co/KH3dFXjdmV (8 Jul)
  • albertocairo: Folks, don’t forget to add http://t.co/fZuaVfQvpB to your RSS f. Updated by @eagereyes #dataviz #infographics #visualization #dataJournalism (8 Jul)
  • efazati: awesome-python: A curated list of awesome #Python frameworks, libraries and software https://t.co/MT56ojHCnH (8 Jul)
  • fonnesbeck: @Drgloo and then there’s this: http://t.co/s7EprWs5xs (8 Jul)
  • johnmyleswhite: No comment necessary: http://t.co/8YUwJf0tJ6 (7 Jul)
  • newscientist: We can learn from Paris to make cities more chilled as the climate warms. http://t.co/QCz3JczHEy http://t.co/6b8Eefq1aR (7 Jul)
  • dartdog: looks like an interesting Web site builder http://t.co/aMN1RWabnZ (runs on Google App-engine) (7 Jul)
  • InterestingLit: Henry Miller’s writing schedule: http://t.co/GJ6H7xZzRE (7 Jul)
  • sgsfak: @hadleywickham How about http://t.co/0BPTYXdzgL ? (7 Jul)
  • stuartcantrill: Awesome referee comment of the day: “Please eliminate ‘We believe’. This is science. Nobody cares what you believe.” (7 Jul)
  • inesgn: @jleek @bcaffo @rdpeng See what the layman in R can do http://t.co/grWZhmDyCy (App) http://t.co/wVTg2CaFOb (slides)-> <http://t.co/bX9Xexbbt7< (7 Jul)
  • d6: I uploaded a description of how I do remote pair programming, including a helpful script: https://t.co/xwQqIINDHH (7 Jul)
  • gnuhealth: #GNUHealth 2.6.0 is out ! http://t.co/6ExO9wJutw #Tryton http://t.co/EZifsff52p (7 Jul)
  • wjrl59: @paulblaser @chlalanne @moorejh Novel network vis, but still drawing nodes as points! How about lines? http://t.co/kroc7a6vjd (6 Jul)
  • rasbt: I am not great at #regex, so I started to collect them copy&paste-ready an IPython notebook: http://t.co/iDZz5G7XOA http://t.co/7NaJ4FrCPg (6 Jul)
  • paulblaser: RT @moorejh: Novel approaches to network #visualization: PDF http://t.co/9sWFh1SQnu #dataviz #bioinformatics #datascience… (6 Jul)
  • ErgoEmacs: Intro to Mathematica Pattern Matching for Lisp Programers http://t.co/k0gcfW9lqO (5 Jul)
  • RevolutionR: RT @kdnuggets: plyrmr, package for making R work seamlessly with the #Hadoop system #rstats http://t.co/nRH2dldQKh (4 Jul)
  • hmCuesta: Mining Big Data using Weka 3 http://t.co/ThZLRfJz4E (4 Jul)
  • teddy777: The Quantification of Behavioral Analytics in Psychiatry http://t.co/xUR8FcDVJJ (4 Jul)
  • strataconf: #Strataconf + #HadoopWorld #DataScience track features @jeroenhjanssens @hadleywickham @fperez_org @hmason @cdubhland http://t.co/Lep2XcLHI2 (4 Jul)
  • jmsidhu: On the origins of the scatter plot http://t.co/l1N6CE5x1U (4 Jul)
  • SteffLocke: If you’re interested in #R and don’t use data.table - check out this in-depth data.table presentation http://t.co/WlHzNbZtGe (4 Jul)
  • DiegoKuonen: MT @msgbi: Becoming a Data Scientist : A RoadMap http://t.co/TXDU4K3QnV #DataScience #Statistics http://t.co/dc9wKfpRmD (4 Jul)
  • burnsstat: simple random functions in #rstats to draw pictures http://t.co/0rz2Ed010P http://t.co/MrPKg23kU6 (4 Jul)
  • modernscientist: Friendly reminder to cite open source software in manuscripts. Here’s the info for the Python scientific packages: <http://t.co/W5rgrOGfNg (3 Jul)
  • janiczek: Github repo for the adventure from last tweet = https://t.co/Y8wxmyfbMc GH Pages demo: http://t.co/DAee1LnnYQ (3 Jul)
  • erlichya: .@IgorCarron Link to our genetic privacy paper: http://t.co/B5a8dNasqe (3 Jul)
  • DiegoKuonen: MT @kdnuggets: For advanced Data Scientists: Tutorial in Gradient boosting machines > http://t.co/NvG42Wrfwr (3 Jul)
  • peterdfields: Have Procrustes rotations as in http://t.co/soaNusWgHQ trying to get the PC1-PC2 coordinates onto the scale of the lat-long points #Rstats (3 Jul)
  • sgrifter: Using random forests in #rstats?@JohnEhrlinger has a nice application of ggplot2 https://t.co/SIoMT3EbHq #useR2014 (3 Jul)
  • tslumley: AmStat white paper on Stats and Computer Science and Data and stuff is out: http://t.co/MChgnPpwbz (3 Jul)
  • ledell: Presenting my new R package for ensemble learning, subsemble, at #user2014 in 1 hr. Now available on CRAN: http://t.co/GBJMlra67a #rstats (3 Jul)
  • agramfort: Gabriel Peyre started to convert his great matlab numerical tours to #python https://t.co/8ejS9mQZBK Give him a hand and send him PRs (3 Jul)
  • TrestleJeff: Couldn’t make it to #user2014? Here’s a preview of the slides from my rmarkdown talk tomorrow morning. http://t.co/X9xYyWPJZA #rstats (3 Jul)
  • revodavid: Slides from my #user2014 talk, “R and reproducibility - a proposal” http://t.co/72bLVsk1uF #rstats (3 Jul)
  • MMaechler: http://t.co/VDc1Mszf2b slides of my talk at #useR2014… Yes, I should find a more modern publication venue! (3 Jul)
  • _inundata: This is cool → statsTeachR open-access online repo of modular lesson plans for teaching statistics using R http://t.co/3Vl7PVmc85 #useR2014 (3 Jul)
  • ledell: Adaptive resampling to shortcut (tuning param) grid search, by Max Kuhn. http://t.co/fzaXiPfgXy Now part of caret R package. #user2014 (2 Jul)
  • ledell: “The Airline dataset is the Iris dataset for big data.” – @RevoJoe 120M rows, available here: http://t.co/mpeppoOW6V #user2014 (2 Jul)
  • DataTau: Books for Machine Learning with R: http://t.co/6d6PrW6AQu (2 Jul)
  • leonawicz: Collaborative coding for R http://t.co/15GMurLazN (2 Jul)
  • kwbroman: @_inundata Beamer slides that don’t suck: http://t.co/BLdi1Qbgwa (2 Jul)
  • RevolutionR: Review of Applied Predictive Modeling by Kuhn and Johnson http://t.co/xogejCzcOY (2 Jul)
  • seandavis12: #diigo: useR 2014: Fostering the next generation of Open Science with R http://t.co/oNFf61WhEt (2 Jul)
  • thattommyhall: Been toying for ages with the idea of doing a Clojure ‘SICP distilled’ course in London, would anyone be interested? http://t.co/a43qDMsWcM (2 Jul)
  • DiegoKuonen: #Statistics & #Science - ‘Future of Statistical Sciences’ report by @ASTATWORLD at http://t.co/XwwtauT2al http://t.co/vqVENXmw4f (2 Jul)
  • yokofakun: pushed a standalone version of verticalize https://t.co/NFdJ3c3u36 an everyday linux command to verticalize tab-delimited files. (2 Jul)
  • benjaminlmoore: Circlize #rstats package: http://t.co/pkaapvpcdA for some reason the pretty examples are buried in zipped suppl. http://t.co/KaSBPBg6qK (2 Jul)
  • bgoncalves: Inferring the origin of an epidemic with a dynamic message-passing algorithm http://t.co/NkxMtiwjzM http://t.co/YDvk23l82z (2 Jul)
  • walkingrandomly: A ‘data engine’ is powered by large unstructured data sources and converts them to actionable knowledge. http://t.co/dKnviuIf5I (2 Jul)
  • REAS: GNU Jokes: Hello World! https://t.co/irKwGphLGa @dcuartielles (2 Jul)
  • Soc_Net_Intel: MT @JoeMarr4: Want to read big data files into R? Check this out: Handling big data in R http://t.co/TcB2FrXOFb #rstats (2 Jul)
  • OpenCPU: @biotimylated sort of. The API is actually interoperable, not necessarily R. But current implementation is R. http://t.co/BK7r0T5kOR (1 Jul)
  • rxin: Blog post explaining our (@databricks) position in Shark, Spark SQL, Hive on Spark, and the future of SQL on Spark http://t.co/K2VupQqIMB (1 Jul)
  • ogrisel: scikit-learn 0.15.0b2 is out on PyPI with wheels for OSX and Win32. Grab it with “pip install scikit-learn==0.15.0b2”! (1 Jul)
  • ramnath_vaidya: Interactive slides from my Interactive Visualization presentation at #user2014. http://t.co/sLLUmy1he5 #rstats http://t.co/OMS1TFkzAM (1 Jul)
  • YhatHQ: Principles of good data analysis by Greg Reda | @gjreda http://t.co/D9Lf8SNfZi (1 Jul)
  • revodavid: Getting a demo of example apps built in OpenCPU from @JeroenOoms . Try them here: http://t.co/smLnPQ2yA4 #rstats #user2014 (1 Jul)
  • hspter: RCloud looks awesome! https://t.co/SMqgF8JZsR #user2014 (1 Jul)
  • DataJunkie: Some great examples of rcharts visualizations: http://t.co/1FfPGtBFu3 #Rstats #useR2014 (1 Jul)
  • winston_chang: Slides and code from my talk on #ggvis at #useR2014: http://t.co/vOmJA2xmXa #rstats (1 Jul)
  • jedisct1: RT @YhatHQ: DAWG - Read-only dictionary-like objects in Python using 200x less memory than standard dicts | http://t.co/YeRtg5yJCn (1 Jul)
  • lpfeed: JuliaCon Presentation Slides: The Julia language’s first conference has recently wound up and the PDFs of the… http://t.co/zcuvNzFcUE (1 Jul)
  • ConcejeroPedro: R-igraph tutorial in R markdown (.Rmd), based on enron dataset (enron.RData) available here https://t.co/pacIzimle6 (1 Jul)
  • moorejh: Is #ArtificialIntelligence the future of medicine? - JAMA http://t.co/wFtrs4ymkc #informatics #health #healthcare #machinelearning (1 Jul)
  • DiegoKuonen: RT @freakonometrics: “De Statisticien à Data Scientist” http://t.co/AnbvAlcpMC ht @a_bh (1 Jul)
  • DiegoKuonen: RT @freakonometrics: “Statistique etBig Data AnalyticsVolumétrie – L’Attaque desClones” http://t.co/u6YMQulZZW ht @a_bh (1 Jul)
  • smashingmag: A detailed introduction to Functional Reactive Programming (FRP). https://t.co/VO1oJllae3 written by @andrestaltz (1 Jul)
  • yokofakun: In case you missed it yesterday night: I pushed a C version of my tool visualizing the dependencies in a Makefile https://t.co/24sw4JeDR4 (1 Jul)