node.js
Real-Time Machine Learning with Node.js – Philipp Burckhardt, Carnegie Mellon University
Real-time machine learning provides statistical methods to obtain actionable, immediate insights in settings where data becomes available in sequential order. After providing an overview of state of the art real-time machine learning algorithms, we discuss how these algorithms can be leveraged from within a Node.js application. We will see why the powerful API of the core stream module makes Node.js a more attractive platform for such tasks compared to languages traditionally used for scientific computing such as R, Python or Julia. Finally, we will discuss best-practices and common pitfalls that one faces when using these algorithms.
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Which presentation tool are you using?
alot of computation on a single threaded system ??? just wait for web assembly spec to be finalized and node will be the first to support it then u just include your C++ model and get the best of the two worlds
Hi, wonderful presentation. How did you visualize the real-time data?
Nice video, Philipp Burckhardt have github?
boring
Was hoping to find more examples and demos. Any follow-up works on the concepts explained?
Sorry Philip, but this talk brings nothing more a readme file or an API doc could tell in my opinion
https://youtu.be/DOTNAFqS5fE
Not unusual for PyTorch 1.0