> The first version of this document was drafted by my students: Hossein Falaki, Earl Oliver, and Sumair Ur Rahman.The paper is two pages. Why aren't these people included as authors then...? I was all ready to mock this by saying how most papers get only 1) Read the abstract, 2) Read the conclusion, 3) Look at the graphics, from me. Turns out that it's basically what the paper says, but then goes
I actually really like many of the blogs at Microsoft. It's a bit of a mixed bag, but there's some gems in there.Raymond Chen's blog[1] in particular was good enough to get me to buy his book (which definitely did not disappoint). Other ones I subscribe to are the Microsoft Edge Dev Blog[2] , Mark Russinovich[3] and Games for Windows and the DirectX SDK[4] And there's a few that have unfortunately
Before people panic and again try to claim that HTTPS does not help here, note that the leak here is not in HTTPS itself per-se: it's in DASH and VBR encodings. Segment sizes can be predictable and are unique for each video. Higher variation in bitrate leaks more unique fingerprint information, and Netflix happens to support high variation in bitrates. HTTPS still does guarantee integrity and conf
This is missing what to me is the most important part of the algorithm: a quorum of acceptors must propagate writes to the learners. With just what's shown here, you're not tolerant to network partitions that cause a subset of the "accept" messages to be lost.That process can of course be optimized in a number of ways that drastically cut down on the network overhead as compared to the naive MxN w
Doing some design for an upcoming project and taking a survey.I'll go first. Model training happened nightly on a Spark cluster. This output a PMML-based SVM model. The model was instantiated on a cluster of compute servers running Openscoring. A thin Node web service wrapper used the Openscoring cluster to serve realtime client prediction requests. Dataset size in the hundred millions of examples
Sorry for the rough night Yorick. This could happen to all of us but of course it happens to the person that is working the hardest. <3 I'm going to add to your message box unnecessarily, but I want to say I love GitLab and it's a shining example of a transparent company. I still have ambitions to work there someday, and this event is hopefully a net gain in the end, in that everyone here and ther
Earlier I was intrigued by an crash-course posted on here titled "Learn Tensorflow and deep learning without a Ph.D", linking to a GCP page here: https://cloud.google.com/blog/big-data/2017/01/learn-tensorflow-and-deep-learning-without-a-phdWould those offering jobs related to deep learning really be comfortable offering the a position building / using these kinds of models without an advanced deg
Another good resource from Google is [1] which focuses more on operational impacts after you deploy a system that relies on ML (I'm a coauthor). [2], which was written by my boss, is also great.[1] https://sites.google.com/site/wildml2016nips/SculleyPaper1.p... [2] https://research.google.com/pubs/pub43146.html
Wanted to know what are or if there are any coding related podcasts which people are subscribed to. The specific topics I am looking for are- Algorithms/Data Structures - Javascript - Scala Software Engineering Radio [1]. In my opinion this is one of the best software engineering podcasts out there. I find the interview format really effective at really extracting programming wisdom from the exper
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