#CloudML
HE-CloudML: a privacy-preserving framework for secure machine learning inference over ...
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www.nature.com
September 6, 2026 at 8:17 PM
CRAN readmissions: cloudml covid19br tepr tfestimators wingen #rstats
August 19, 2025 at 12:02 AM
CRAN removals: apc archivist.github artfima ch cloudml colocr colorpatch ProfoundData PupilPre QRegVCM RcmdrPlugin.GWRM RmarineHeatWaves RMBC RSauceLabs RsimMosaic RZabbix SC.MEB SensusR SubpathwayLNCE TrendSLR #rstats
June 13, 2025 at 11:17 AM
Removed from CRAN: A3 (1.0.0), AcrossTic (1.0-3), archivist.github (0.2.6), artfima (1.5), BayesComm (0.1-2), cloudml (0.6.1), ClusteredMutations (1.0.1), ClusVis (1.2.0), colorpatch (0.1.2), crsra (0.2.3), CVR (0.1.1), datastepr (0.0.2), DetR (0.0.5), dfmeta (1.0.0)
June 13, 2025 at 9:30 AM
No space for 50 computers under your desk? Send the Tensorflow job to CloudML. Distributed training, zero setup. https://www.youtube.com/watch?v=zqWt8oI4gEw&feature=youtu.be&t=23m6s /8
February 6, 2025 at 6:00 PM
Great article on AI Platform hp-tuning. It now works with any framework since you can use the cloudml-hypertune lib to report metrics back.
https://towardsdatascience.com/hyperparameter-tuning-on-google-cloud-platform-with-scikit-learn-7d6155195efb
Hyperparameter Tuning On Google Cloud Platform With Sciki...
Google Cloud Platform’s AI Platform (formerly ML Engine) ...
towardsdatascience.com
February 6, 2025 at 4:15 PM
A new AI review! GoogleCloudPlatform/cloudml-samples ⭐3.0/5.0
`GoogleCloudPlatform/cloudml-samples` is a large collection of end-to-end sample projects demonstrating how to train and serve ML models on Google Cloud’s **AI Platform (formerly...
https://gitrated.com/GoogleCloudPlatform/cloudml-samples
March 16, 2026 at 3:40 AM
Oh hey @_NickGolding_ J.J. Allaire just gave a Greta shout-out during his Tensorflow talk at #rstudioconf! (watching the live stream

youtube.com/watch?v=Ol1FjF…
rstudio::conf 2018 | Offiical Live-stream Day 2
9:00AM - 10:30AM Day 2 Keynote - Machine Learning with TensorFlow and R 11:00AM - 11:20AM Session 1: interop - Large scale machine learning using TensorFlow, BigQuery and CloudML Engine within RStudio. 11:20AM - 11:40AM Session 1: interop - Deploying TensorFlow models with tfdeploy 11:40AM - 12:00PM Session 1: interop - Building Spark ML pipelines with sparklyr 11:40AM - 12:00PM 12:00PM - 12:20PM Session 1: interop - Reinforcement learning in Minecraft with CNTK-R 2:00PM - 2:20PM Session 2: production-2 - Sharing analysis results with RStudio Connect. 2:20PM - 2:40PM Session 2: production-2 - Parameterized R Markdown reports with RStudio Connect 2:40PM - 3:00PM Session 2: production-2 - Drill-down reporting with Shiny 3:00PM - 3:20PM Session 2: production-2 - The R Admin is rad: A guide to professional R tooling and integration. 4:00PM - 4:40PM Fireside Chat with RStudio - Tidyverse discussion 4:40PM - 5:20PM Fireside Chat with RStudio - R in industry discussion 5:20PM - 5:30PM rstudio::conf Closing Remarks
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January 12, 2025 at 3:26 AM