Machine Learning with R and TensorFlow




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J.J. Allaire’s keynote at rstudio::conf 2018 on the R interface to TensorFlow (https://tensorflow.rstudio.com), a suite of packages that provide high-level interfaces to deep learning models (Keras) and standard regression and classification models (Estimators), as well as tools for cloud training, experiment management, and production deployment. The talk also discusses deep learning more broadly (what it is, how it works, and where it might be relevant to users of R in the years ahead).

Slides: https://beta.rstudioconnect.com/ml-with-tensorflow-and-r/
JJ Allaire: – https://github.com/jjallaire
Twitter: @fly_upside_down https://twitter.com/fly_upside_down

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Comment List

  • RStudio
    December 17, 2020

    IT IS NOT EASY TO SET UP WORKING ENVIRONMENT IN R and WINDOWS !!!!!!!!!!!!!!!!!!!!!
    lot of errors tensorflow, keras etc….(search in google)

  • RStudio
    December 17, 2020

    This is very useful. Its amazing how the model was able to associate Tusker to the elephant image at 47:01. This is a popular beer brand in Africa that uses the elephant as its logo

  • RStudio
    December 17, 2020

    Thanks, Very Informative Video

  • RStudio
    December 17, 2020

    Thank you, J.J Allaire and Rstudio. It would have been nice to add the Q&A session as well.

  • RStudio
    December 17, 2020

    Brilliant 👏

  • RStudio
    December 17, 2020

    Great introduction to ML and why it should be used with great care.

  • RStudio
    December 17, 2020

    Jump to 31:20

  • RStudio
    December 17, 2020

    where could we find the presented PPT?

  • RStudio
    December 17, 2020

    Excellent video and thanks Allairre.

  • RStudio
    December 17, 2020

    I have a problem in loading dataset from my local drive. If anyone help me to load on CloudML, please let me know.

  • RStudio
    December 17, 2020

    Thank you. Glad this was featured on R blogger. Learnt a lot

  • RStudio
    December 17, 2020

    Thanks for this excellent introduction to the subject. I really appreciated the fact that you were NOT trying to sell machine learning as a "magic one size fits all solution available for anybody without statistics kwowledge". Unfortunately too often ML is presented as a magical solution by software sellers and I've seen many dangerous attempts to use it blindly for manufacturing decision making. It's not a way to skip our professional responsibility… we have to do our homework and understand what's happening, why it's happening, identify the sources of variations (and address them). And THEN, we could add on top of a mature, understood, in control mfg process a predictive model (ML or not) to sustain or improve quality and performance. This fact was clear in your excellent presentation on top of the very valuable information that you presented, thank you.

  • RStudio
    December 17, 2020

    Excellent, thanks a lot !

  • RStudio
    December 17, 2020

    Very informative, thank you (y)

  • RStudio
    December 17, 2020

    thanks!A Smooth Start

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