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  2. Databricks - Wikipedia

    en.wikipedia.org/wiki/Databricks

    Databricks, Inc. is a global data, analytics, and artificial intelligence (AI) company, founded in 2013 by the original creators of Apache Spark. [ 1 ] [ 4 ] The company provides a cloud-based platform to help enterprises build, scale, and govern data and AI, including generative AI and other machine learning models.

  3. Query optimization - Wikipedia

    en.wikipedia.org/wiki/Query_optimization

    The query optimizer attempts to determine the most efficient way to execute a given query by considering the possible query plans. [ 1 ] Generally, the query optimizer cannot be accessed directly by users: once queries are submitted to the database server, and parsed by the parser, they are then passed to the query optimizer where optimization ...

  4. Databricks CEO thinks we’re on the verge of an ... - AOL

    www.aol.com/finance/databricks-ceo-thinks-verge...

    Databricks is also considered a top candidate to go public. “Right now we have a huge demand on our business and we're focused on satisfying that. When the time is right, we will also go public.

  5. Star schema - Wikipedia

    en.wikipedia.org/wiki/Star_schema

    In computing, the star schema or star model is the simplest style of data mart schema and is the approach most widely used to develop data warehouses and dimensional data marts. [1]

  6. Hyperparameter (machine learning) - Wikipedia

    en.wikipedia.org/wiki/Hyperparameter_(machine...

    In machine learning, a hyperparameter is a parameter that can be set in order to define any configurable part of a model's learning process. Hyperparameters can be classified as either model hyperparameters (such as the topology and size of a neural network) or algorithm hyperparameters (such as the learning rate and the batch size of an optimizer).

  7. Travelling salesman problem - Wikipedia

    en.wikipedia.org/wiki/Travelling_salesman_problem

    A common interview question at Google is how to route data among data processing nodes; routes vary by time to transfer the data, but nodes also differ by their computing power and storage, compounding the problem of where to send data. The travelling purchaser problem deals with a purchaser who is charged with purchasing a set of products. He ...

  8. Hyperparameter optimization - Wikipedia

    en.wikipedia.org/wiki/Hyperparameter_optimization

    In machine learning, hyperparameter optimization [1] or tuning is the problem of choosing a set of optimal hyperparameters for a learning algorithm. A hyperparameter is a parameter whose value is used to control the learning process, which must be configured before the process starts.

  9. Here’s what it means to optimize your computer - AOL

    www.aol.com/lifestyle/means-optimize-computer...

    The best way forward is to optimize your computer, which means to carry out a series of steps to make your computer faster and more efficient. Save yourself some sanity by optimizing your computer ...