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Quantocracy’s Daily Wrap for 06/03/2020

This is a summary of links featured on Quantocracy on Wednesday, 06/03/2020. To see our most recent links, visit the Quant Mashup. Read on readers!

  • Why We Use Apache Beam For Our Systematic Trading Data Pipeline [Robot Wealth]

    In the world of Big Data, there are lots of tools and technologies to choose from. Choosing the right one depends on the things that you are building and the problems you are trying to solve. Trading firms have skilled teams that monitor and deploy data pipelines for their organisation and the technical overhead that comes with that. Firms invest in data infrastructure and research because
  • Variational autoencoder as a method of data augmentation [Quant Dare]

    In this blog weve talked about autoencoders several times, both as outliers detection and as dimensionality reduction. Now, we present another variation of them, variational autoencoder, which makes possible data augmentation. If you have ever faced Machine Learning problems, you will have dealt with the lack of data to train models. Well, this method will give you an interesting way of getting

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