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ScaDaMaLe

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  1. module-1 module-1 Public

    Module 1 – Introduction to Data Science: Introduction to fault-tolerant distributed file systems and computing. The whole data science process illustrated with industrial case-studies. A practical …

    Jupyter Notebook 3 3

  2. module-2 module-2 Public

    Module 2 – Distributed Deep Learning: Introduction to the theory and implementation of distributed deep learning: Classification and regression using generalized linear models, including different …

    Jupyter Notebook 3 1

  3. books books Public

    The Book Written by Raazesh Sainudiin and his WASP PhD Students in 2021

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  4. module-3 module-3 Public

    Module 3 – Decision-making with Scalable Algorithms: Theoretical foundations of distributed systems and analysis of their scalable algorithms for sorting, joining, streaming, sketching, optimizing …

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  • books Public

    The Book Written by Raazesh Sainudiin and his WASP PhD Students in 2021

    ScaDaMaLe/books’s past year of commit activity
    1 0 0 0 Updated Jan 7, 2021
  • module-3 Public

    Module 3 – Decision-making with Scalable Algorithms: Theoretical foundations of distributed systems and analysis of their scalable algorithms for sorting, joining, streaming, sketching, optimizing and computing in numerical linear algebra with applications in scalable machine learning pipelines for typical decision problems (e.g., prediction, A/…

    ScaDaMaLe/module-3’s past year of commit activity
    0 0 0 0 Updated Nov 18, 2020
  • module-2 Public

    Module 2 – Distributed Deep Learning: Introduction to the theory and implementation of distributed deep learning: Classification and regression using generalized linear models, including different learning, regularization, and hyperparameters tuning techniques. The feedforward deep network as a fundamental network, and the advanced techniques to…

    ScaDaMaLe/module-2’s past year of commit activity
    Jupyter Notebook 3 1 0 0 Updated Oct 22, 2020
  • module-1 Public

    Module 1 – Introduction to Data Science: Introduction to fault-tolerant distributed file systems and computing. The whole data science process illustrated with industrial case-studies. A practical introduction to the scalable data processing to ingest, extract, load, transform, and explore (un)structured datasets. Scalable machine learning pipel…

    ScaDaMaLe/module-1’s past year of commit activity
    Jupyter Notebook 3 3 0 0 Updated Sep 25, 2020

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