Here is the latest bag of tweets^*, which covers July 2015.

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

• FarRider: Novel random forest model based on cooperative game theory. #datascience #machinelearning http://t.co/9vVAHWnpuO (23 Jul)
• JeromyAnglim: Happy collaboration with Rmd to docx http://t.co/rfssaPTJSO via @rstudio #rstats (23 Jul)
• paulblaser: “What are Bloom filters?” by @majelbstoat https://t.co/CJ5aguO3Hp (22 Jul)
• adolfoalvarez: And speaking about Scalability with #rstats, here are my slides “R:fast and big strategies” https://t.co/cTE6xPXJLc (22 Jul)
• paulblaser: “Complete Course on Machine Learning” http://t.co/xjNNCfmjT7 #currentevents #feedly (22 Jul)
• thefreemanlab: new project: Bolt, a unified interface for ndarrays, in Python, backed by NumPy and Spark http://t.co/QxjgQ0wcFA #python #spark (22 Jul)
• carlislerainey: New paper: “Logistic Regression with Small Samples.” @kellymccaskey is presenting a poster at #polmeth. Paper: http://t.co/fvvoRxOgKz. (21 Jul)
• YhatHQ: The Code Behind Building a @FiveThirtyEight post | #rstats #datascience | http://t.co/pjakGBY9bR (21 Jul)
• stephensenn: Meta-analysis “is not just a question of pushing data into some software sausage machine " http://t.co/JR0ONoCQat (21 Jul)
• aflyax: Max Kuhn (author of caret packg). 1:26: ethical consideration of succumbing to FDA pressure to use simpler models. https://t.co/1IdWoFNUus (21 Jul)
• YhatHQ: Comprehensive Guide to Data Visualization in R | #rstats | http://t.co/dHTvN1QYBn (21 Jul)
• karpathy: Nice/fun intro to multi-armed bandit by Ian http://t.co/COPVTFZfla he’s very new to blogging but doing it right :) (21 Jul)
• ML_toparticles: Data Key to Effective Patient Home Monitoring http://t.co/Fj6jXERzZy http://t.co/9Al3wqvLmd (20 Jul)
• t3kcit: auto-sklearn https://t.co/O1Egm9aysK does automatic machine learning based on SMAC http://t.co/eKs68hn4vJ looks cool :) (20 Jul)
• neilfws: 1/2 just realised some of my charts commit the dreadful “unequal x-axis intervals presented as equal” sin http://t.co/inMthu1b14 :( (20 Jul)
• DiegoKuonen: ‘Advances in natural language processing’ > http://t.co/PeiUrW3Zy3 #NLP #TextMining #BigData #DataScience #AI http://t.co/XDjyCF8II9 (19 Jul)
• enjalot: excited to announce the Building Bl.ocks project: https://t.co/1ttUNr8Sr9 help me make it easier to build #d3js blocks for everyone! (19 Jul)
• arnicas: Really great interactive examples in @vicapow’s d3 one-day workshop page: https://t.co/2LwsPyXd9b (19 Jul)
• YvesMulkers: Free Data Science Book for Ordinary People http://t.co/w3bQ1nwg1s (19 Jul)
• msgbi: Explaining Shell Commands in the Shell | ManKier Blog https://t.co/YQAxBTsfbF (19 Jul)
• treycausey: I frequently find myself going down a http://t.co/Ji5QjYngP3 rabbit hole. Compelling, approachable explanations » Wikipedia math articles. (19 Jul)
• gappy3000: The Random Forest Kernel and creating other kernels for big data from random partitions http://t.co/p4MADZLkYf http://t.co/p4MADZLkYf (18 Jul)
• japh44: @rpy @whoozle Common table expr. are cool, you can even solve the “eight queens” problem with them (also in SQLite) http://t.co/MQnvxSYw5F (18 Jul)
• HNTweets: How does C compute sin() and other math functions: http://t.co/WTIXRkXh0l Comments: https://t.co/O0SJysUdTw (18 Jul)
• rpy: woah that is some wild postgresql http://t.co/q8uCYd0FO3 (18 Jul)
• DiegoKuonen: GREAT article ‘Applying statistical thinking to ‘#BigData problems’ > http://t.co/dAK80MdP3n #Statistics #DataScience http://t.co/LmbjDiwBNG (17 Jul)
• DataTau: Understanding Random Forests: From Theory to Practice: http://t.co/QIoAJqZjwW (17 Jul)
• astrobiased: World - meet Pyxley, the Python powered dashboard package: http://t.co/JxVp6dOYcg (@wesmckinn following up on our discussion) (16 Jul)
• YhatHQ: Working with Sessionized Data 2: Variable Selection | Win-Vector Blog #rstats | http://t.co/Ibn5wWIMTV (16 Jul)
• HeathrTurnr: New #Rpackage UpSetR provides alternative to Venn diagrams, with optional plots highlighting specific intersections. http://t.co/GbCFklLufD (16 Jul)
• JurgenPfeffer: #Sunbelt2015 poster “History of Network Visualization” for download: http://t.co/e471rn3ovJ #SNA @SocNetAnalysts http://t.co/hQB8Z8yD8D (15 Jul)
• TrestleJeff: Now with more vowels! (and fewer CRAN package name collisions!) http://t.co/ySx6APsf9h #rstats (15 Jul)
• EvMill: A formula for ranking up-voted items on social news websites: http://t.co/CkHtgvqZHX (Follow-up to previous article) (14 Jul)
• EvMill: So I derived a news-ranking algorithm from expected utility theory… and it’s pretty close to Reddit’s Hot algorithm: http://t.co/zb55bofIn3 (14 Jul)
• DataToViz: Here we go, d3-legend component! Color, size, and symbol legends http://t.co/JO25FULPZA send me your questions #d3js http://t.co/YkfWBMwwkT (14 Jul)
• JoelKuiper: https://t.co/BIcapup7Hr (14 Jul)
• TrestleJeff: Slides from my dplyr talk last week: http://t.co/ZRKvygfPUF #rstats (13 Jul)
• newsycombinator: My Transition from Sublime Text to Atom Editor http://t.co/AdThbcSZ70 (12 Jul)
• KirkDBorne: 16 Free #DataScience Books: http://t.co/TjEfTWnD9Z #BigData #Analytics #Python #Rstats by @wzchen http://t.co/JEZs1LtAPr (12 Jul)
• rasbt: “The Model Complexity Myth” (or, Yes You Can Fit Models With More Parameters Than Data Points) https://t.co/5VdOovRrmd (11 Jul)
• HNTweets: ClojureCL – Parallel computations with OpenCL 2.0 in Clojure: http://t.co/BgRw14E4z4 Comments: https://t.co/O3KxHyoafa (11 Jul)
• ttscoff: @anzumanataal I use Mackup (https://t.co/yNPYONWOoA) and Dropbox symlinks for files it doesn’t already sync. (10 Jul)
• rasbt: Most of the “SciPy 2015: Scientific Computing with Python Conference” should be online now, happy watching! https://t.co/5hu3OeoOeG (10 Jul)
• revodavid: ICYMI: Catch up on the latest R news in the Revolutions Blog monthly roundup: http://t.co/xRSQNL3DFn #rstats (10 Jul)
• DrBunsen: duti is a super handy Mac tool. It sets the default app that files are opened with: http://t.co/tjhjZnrYTK http://t.co/taTUWZRerT (10 Jul)
• ds_ldn: rOpenHealth - Collaborative R tools for accessing quant health & public healthcare data https://t.co/5dzWvxh3L0 via @dataJujitsu (10 Jul)
• LispDaily: #lisp On #Lisp in LaTeX (with syntax highlighting) | http://t.co/47r1MO1jk6 (10 Jul)
• mbostock: I thought this was going to be easy. http://t.co/ioIH8kRjkD http://t.co/HlWvkniTFt (10 Jul)
• ttscoff: Shell Tricks: .inputrc binding fun http://t.co/VYgsvirIkZ [post] (9 Jul)
• knime: Youtube video “An introduction to KNIME” has just reached 16606 views http://t.co/CzmnO8ksRQ If you are new to #KNIME, you should check it! (9 Jul)
• yokofakun: [pubmed trending] How to quantify the evidence for the absence of a correlation. http://t.co/T8ELZV4vub (9 Jul)
• t3kcit: First half of scikit-learn / ml tutorial with @kastnerkyle : https://t.co/6yII971dUc notebooks here https://t.co/HWMUzOtda4 #scipy2015 (9 Jul)
• RPubsRecent: SparkRext - SparkR extension for closer to dplyr #rstats #SparkR http://t.co/XtXlR0Zlsn (8 Jul)
• bzg2: A garder sous le coude et relire de temps en temps : « Les quatre concepts de l’informatique » http://t.co/Fz2FO0melI #jecode cc @assoEPI (8 Jul)
• fastml_extra: Google Combinatorial Optimization Tools: https://t.co/q4cMBlLDHW GitHub: https://t.co/6HrBGJUo3a (8 Jul)
• williamtfleming: Exploring Stack Exchange data with Clojure using Apache Spark and Flambo http://t.co/pHy75ytqXb (8 Jul)
• stephensenn: A standard error http://t.co/C77SDOz2sR (8 Jul)
• stephensenn: Trouble with brackets http://t.co/q25RD5Nv7p and http://t.co/TPMfZG6pNm (8 Jul)
• fonnesbeck: Exercise solutions for today’s CompStats2 tutorial https://t.co/tfsYIRLhNV #SciPy2015 (7 Jul)
• kajord: Slides from my #SciPy2015 tutorial this morning are at http://t.co/r1UZ6XuRHX (7 Jul)
• mattstat: The only numbers with no confidence intervals or p values attached were the page numbers. http://t.co/gyYMHpemXb P < 0.0001 (7 Jul)
• HarlanH: The Model Complexity Myth http://t.co/xOA4t0JelP #eabds (7 Jul)
• fastml_extra: Using word2vec for classification! Paper: http://t.co/zYpdDk5cre In Gensim (notebook): http://t.co/P0bWdUg2Bo (7 Jul)
• KirkDBorne: Free @Kaggle #MachineLearning Tutorial in R - learn how to compete in #DataScience: http://t.co/fjxSWcP1oB #Rstats http://t.co/Rjn1eouEVI (7 Jul)
• rdpeng: Lecture videos, code files, and datasets are available for Exploratory Data Analysis with R. https://t.co/uP9svTizn3 (6 Jul)
• ramhiser: Worthwhile read. “Designing Data-Driven Interfaces” https://t.co/ubTxW6RuV7 (5 Jul)
• aflyax: Computational Methods in Bayesian Analysis https://t.co/bLv9iFTFm6 #ipython #machinelearning #statistics by @fonnesbeck (4 Jul)
• KirkDBorne: #DataScience IPython Notebooks: http://t.co/Fz0xBsyY7G #Python #BigData http://t.co/EvpEWjNYHe by @donne_martin (3 Jul)
• jcheng: Simple ggplot2 brushing demo from my #useR2015 talk: https://t.co/DGZhJESeuz (examples at bottom) #ggplot2 #shiny #rstats (3 Jul)
• ucfagls: Statistics and computing: the genesis of data science by David Hand http://t.co/EWu80QViil #openaccess #DataScience #statistics (2 Jul)
• daroczig: @adolfoalvarez Oh, thank you very much :) It’s already uploaded to https://t.co/ciVsRI3QhQ but happy to send the raw pdf as well. (2 Jul)
• mbostock: Geometry day in #d3js land! \o/ https://t.co/louF54ghZw https://t.co/NGV7RTUCPl https://t.co/NZHOrG0it4 (2 Jul)
• maartenzam: Using a #D3js Voronoi grid to improve a chart’s interactive experience http://t.co/tc73I7EK6U By @NadiehBremer http://t.co/FWYzG8pDaW (2 Jul)
• KirkDBorne: Cheat Sheet—Data Visualization with R: http://t.co/4EulaO49aC #abdsc #BigData #DataScience #DataViz #Rstats http://t.co/dq3Odb6RBx (1 Jul)
• bbatsov: Magit 2.1 is finally out! The release notes are epic https://t.co/quS8XNddDu (1 Jul)
• StatGarrett: Want to save data from your #shinyapp? @daattali demonstrates all the best options @rstudio #rstats http://t.co/dA3y23rWTD (1 Jul)
• knime: Learn #KNIME with books from the KNIME Press https://t.co/6zyWbLdzUV #tutorial #datamining #datascience #bigdata #machinelearning #data (1 Jul)
• eddelbuettel: Slides from my talks from last week - #Rcpp course in Zuerich - @Docker R tutorial - drat lightning talk now at http://t.co/OLoYbw5nCC (1 Jul)
• rOpenHealth: Another new @rOpenHealth #EHR #rstats package: rpcdsearch for automating construction of clinical code lists https://t.co/4C1Hjh42IB (1 Jul)