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      • In the spirit of Spark and Spark MLlib, it provides easy-to-use APIs that enable deep learning in very few lines of code. It focuses on ease of use and integration, without sacrificing performace.
      towardsdatascience.com/deep-learning-with-apache-spark-part-1-6d397c16abd

      Deep Learning With Apache Spark — Part 1 | by Favio Vázquez ...

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  3. towardsdatascience.com › deep-learning-with-apacheDeep Learning With Apache Spark — Part 1 | by Favio Vázquez ...

    Apr 9, 2018 · Why would you want to do Deep Learning on Apache Spark? This was the question I asked myself before beginning to study the subject. And the answer comes in two parts for me: Apache Spark is an amazing framework for distributing computations in a cluster in a easy and declarative way.

    • Favio Vázquez

  4. thenewstack.io › the-good-bad-and-ugly-apacheThe Good, Bad and Ugly: Apache Spark for Data Science Work

    Jun 26, 2018 · It’s easy to see why Apache Spark is so popular. It does in-memory, distributed and iterative computation, which is particularly useful when working with machine learning algorithms. Other tools might require writing intermediate results to disk and reading them back into memory, which can make using iterative algorithms painfully slow.

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  6. towardsdatascience.com › the-what-why-and-when-ofThe What, Why, and When of Apache Spark | by Allison Stafford ...

    Jan 12, 2020 · Why would you want to use Spark? Spark has some big pros: High speed data querying, analysis, and transformation with large data sets.

    • Allison Stafford

  7. www.linode.com › docs › guidesWhy You Should Use Apache Spark for Data Analytics

    Aug 19, 2023 · Big Data. Why You Should Use Apache Spark for Data Analytics. Published August 19, 2023 by Jeff Novotny. Create a Linode account to try this guide. Within the growing field of data science, Apache Spark has established itself as a leading open source analytics engine.

    • Linode

  8. towardsdatascience.com › your-first-apache-sparkYour First Apache Spark ML Model. How to build a basic ...

    Jun 17, 2020 · Apache Spark is a unified analytics engine for large-scale data processing. We still have the general part there, but now it’s broader with the word “ unified,” and this is to explain that it can do almost everything in the data science or machine learning workflow.

    • Favio Vázquez

  9. medium.com › @big_data_landscape › integratingIntegrating Machine Learning Models with Apache Spark: A ...

    Nov 13, 2023 · Why Combine Apache Spark with External ML Models? Apache Spark is renowned for its ability to efficiently process and handle large datasets, thanks to its in-memory data processing and...

  10. www.infoworld.com › article › 2243822Why you should use Spark for machine learning - InfoWorld

    Feb 11, 2016 · Spark enhances machine learning because data scientists can focus on the data problems they really care about while transparently leveraging the speed, ease, and integration of Spark’s...

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