Walk on the web flow 20171106

Architecture

Introduction visuelle au Machine learning http://www.r2d3.us/visual-intro-to-machine-learning-part-1/

Introduction au Machine Learning pour les développeurs http://xyclade.github.io/MachineLearning/#the-global-idea-of-machine-learning

HATEOAS (hypermedia as the engine of application state) et Richardson Maturity Model https://blog.octo.com/transformez-votre-api-web-en-une-api-hypermedia/

Après le BigData ? Des systèmes apprenants https://www.infoq.com/presentations/systems-learn

12 patterns pour Microservices Hypermedia https://www.infoq.com/presentations/12-patterns-api-microservices

Dev

Plus efficace que le BloomFilter ? Le Counting Quotient filter https://blog.acolyer.org/2017/08/08/a-general-purpose-counting-filter-making-every-bit-count/

Scalable In-Memory Aggregation (avec un background OLAP) http://www.doc.ic.ac.uk/teaching/distinguished-projects/2011/r.kopaczyk.pdf

Construire des NetWork framework sur la JVM https://speakerdeck.com/normanmaurer/writing-highly-performant-network-frameworks-on-the-jvm-a-love-hate-relationship

Tunbing guide and tools https://tobert.github.io/pages/als-cassandra-21-tuning-guide.html

Algo HAT Tries (prefix trees) https://tessil.github.io//2017/06/22/hat-trie.html

Tool

Gluon, collaboration de Microsoft et AWS pour le Machine Learning https://www.infoq.com/news/2017/11/microsoft-aws-gluon https://aws.amazon.com/fr/blogs/aws/introducing-gluon-a-new-library-for-machine-learning-from-aws-and-microsoft/ https://github.com/gluon-api/gluon-api/

Vers le réactif, Cyclops http://cyclops-react.io/ https://medium.com/@johnmcclean/introducing-cyclops-x-182a8be555af

CLI pour Google Spreadsheet https://github.com/FGRibreau/google-spreadsheet-cli