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AI, BigData & HPC Digest #4

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Команда FlyElephant [1] подготовила для Вас новый дайджест, включающий в себя подборку ссылок на интересные материалы по направлениям: искусственный интеллект, большие данные и высокопроизводительные вычисления.

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Используя данный промокод 133472464640, сможете начать запускать свои вычисления с балансом +$50

← Прошлый [42] выпуск дайджеста.

Автор: FlyElephant

Источник [43]


Сайт-источник PVSM.RU: https://www.pvsm.ru

Путь до страницы источника: https://www.pvsm.ru/news/111511

Ссылки в тексте:

[1] FlyElephant : http://flyelephant.net/

[2] A Data-Backed Approach: The Top 100 Big Data Experts to Follow in 2016: https://www.maptive.com/the-top-100-big-data-experts

[3] Deep Learning with Spark and TensorFlow: https://databricks.com/blog/2016/01/25/deep-learning-with-spark-and-tensorflow.html?utm_campaign=Open%20Source&utm_content=23566396&utm_medium=social&utm_source=linkedin0

[4] Intro to Sound Analysis with R: http://www.r-bloggers.com/intro-to-sound-analysis-with-r

[5] Using PostgreSQL in R: A quick how-to: http://www.win-vector.com/blog/2016/02/using-postgresql-in-r/

[6] Deep Learning Glossary – WildML: http://www.wildml.com/deep-learning-glossary/

[7] Set up RStudio in the cloud to work with GitHub: http://sas-and-r.blogspot.com/2016/01/set-up-rstudio-in-cloud-to-work-with.html

[8] R Programming Tutorials: http://www.listendata.com/p/r-programming-tutorials.html

[9] Dirt Simple HPC: Making the Case for Julia: http://www.nextplatform.com/2016/01/26/dirt-simple-hpc-making-the-case-for-julia/

[10] Apache Spark in 2015 – Year in Review: https://databricks.com/blog/2016/01/05/spark-2015-year-in-review.html

[11] A gentle introduction to parallel computing in R: http://www.win-vector.com/blog/2016/01/parallel-computing-in-r/

[12] 16 analytic disciplines compared to data science: http://www.datasciencecentral.com/profiles/blogs/17-analytic-disciplines-compared

[13] RcppParallel: Getting R and C++ to work (some more) in parallel: http://blog.rstudio.org/2016/01/15/rcppparallel-getting-r-and-c-to-work-some-more-in-parallel/

[14] The State of Data Science in 2016: http://insidebigdata.com/2016/01/14/14323/

[15] Fun Data for teaching R: http://bartomeuslab.com/2016/01/21/fun-data-for-teaching-r/

[16] Enterprise usages boost HPC: http://www.hpctoday.com/verbatim/enterprise-usages-boost-hpc/

[17] Deep Learning with Spark and TensorFlow: https://databricks.com/blog/2016/01/25/deep-learning-with-spark-and-tensorflow.html

[18] 4 predictions for NoSQL technologies in 2016: http://www.information-age.com/technology/information-management/123460723/4-predictions-nosql-technologies-2016

[19] Power and Glory: World’s Top 10 Supercomputers: http://www.hpctoday.com/news/power-and-glory-worlds-top-10-supercomputers/

[20] Video: An Overview of Supercomputing: http://Video: An Overview of Supercomputing

[21] Video: Mars – A 64-Core ARMv8 Processor: http://insidehpc.com/2016/02/phytium/?utm_source=feedburner&utm_medium=feed&utm_campaign=Feed%3A+InsideHPC+%28insideHPC.com%29

[22] Presentation: GPU Computing for Data Science: http://www.slideshare.net/dominodatalab/gpu-computing-for-data-science

[23] Video: Massive Data Sheds Light on Your Microbiome: http://insidehpc.com/2016/01/video-massive-data-sheds-light-on-your-microbiome/

[24] Video: Microsoft Azure for Engineering Analysis and Simulation: http://insidehpc.com/2016/01/57412/

[25] Video: “Data Science: Where Are We Going?” – Dr. DJ Patil|HPC ASIA: http://hpc-asia.com/data-science-where-are-we-going-dr-dj-patil/

[26] Video:Data Science 101: Recursive Deep Learning: http://insidebigdata.com/2016/01/09/data-science-101-recursive-deep-learning/

[27] Big Data Analytics with Hadoop: http://insidebigdata.com/2016/01/10/big-data-analytics-with-hadoop/

[28] Prepping Data for Analysis using R – Win-Vector Blog: http://www.win-vector.com/blog/2016/01/prepping-data-for-analysis-using-r/

[29] Video: Using Google Compute Engine Pre-Emptible VMs for Cancer Research — insideHPC: http://insidehpc.com/2016/01/57475/

[30] The Role of Text Mining at Boehringer Ingelheim Pharmaceuticals: http://go.copyright.com/l/37852/2016-01-25/3sblqx

[31] insideHPC Manufacturing Webinar: http://insidehpc.com/2016/02/insidehpc-manufacturing-webinar/?utm_source=feedburner&utm_medium=feed&utm_campaign=Feed%3A+InsideHPC+%28insideHPC.com%29

[32] PASC16 Conference: http://www.pasc16.org/

[33] Call for Submissions: GPU Hackathon at the University of Delaware: http://insidehpc.com/2016/01/call-for-submissions/

[34] International HPC Summer School 2016: http://ihpcss2016.hpc.fs.uni-lj.si/

[35] Teach Yourself Deep Learning with TensorFlow and Udacity: http://googleresearch.blogspot.ca/2016/01/teach-yourself-deep-learning-with.html

[36] EuroMPI 2016: Edinburgh September | The 23rd European MPI Users' Group Meeting: http://www.eurompi2016.ed.ac.uk/

[37] SUPERCOMPUTING FRONTIERS: http://supercomputingfrontiers.com/2016/

[38] Must Read Books for Beginners on Big Data, Hadoop and Apache Spark: http://www.analyticsvidhya.com/blog/2015/10/books-big-data-hadoop-apache-spark/

[39] Volume 7/2, December 2015. The R Journal: https://journal.r-project.org/archive/2015-2/

[40] 50+ Free Data Science Books: http://www.datasciencecentral.com/profiles/blogs/50-free-data-science-books

[41] 27 Free Data Mining Books: http://www.dataonfocus.com/21-free-data-mining-books/

[42] ← Прошлый: https://habrahabr.ru/company/flyelephant/blog/274335/

[43] Источник: https://habrahabr.ru/post/276677/