Traffic Engineering (TE) is a basic building block of the Internet. In this
paper, we analyze whether modern Machine Learning (ML) methods are ready to be
used for TE optimization. We address this open question through a comparative
analysis between the s... (more…)
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The ultimate list of the top Machine Learning & Deep Learning conferences to attend in 2019 and 2020. Includes unique discount codes and submission deadlines. (more…)
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Learn more about how our Drive Stats data was used in a research paper that examined whether the application of algorithms for interpretable machine learning would predict drive failure and provide meaningful insights about drive health. (more…)
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Posted by Hansa Srinivasan, Software Engineer, Google Research Machine learning systems have been increasingly deployed to aid in high-i... (more…)
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This is companion wiki of the Machine Learning Engineering by Andriy Burkov.
Machine Learning Engineering is the first book on practical aspects of building machine learning systems for production. (more…)
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