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  2. Apache Spark - Wikipedia

    en.wikipedia.org/wiki/Apache_Spark

    Spark Core is the foundation of the overall project. It provides distributed task dispatching, scheduling, and basic I/O functionalities, exposed through an application programming interface (for Java, Python, Scala, .NET [16] and R) centered on the RDD abstraction (the Java API is available for other JVM languages, but is also usable for some other non-JVM languages that can connect to the ...

  3. Platt scaling - Wikipedia

    en.wikipedia.org/wiki/Platt_scaling

    In machine learning, Platt scaling or Platt calibration is a way of transforming the outputs of a classification model into a probability distribution over classes.The method was invented by John Platt in the context of support vector machines, [1] replacing an earlier method by Vapnik, but can be applied to other classification models. [2]

  4. Data validation - Wikipedia

    en.wikipedia.org/wiki/Data_validation

    Data type validation is customarily carried out on one or more simple data fields. The simplest kind of data type validation verifies that the individual characters provided through user input are consistent with the expected characters of one or more known primitive data types as defined in a programming language or data storage and retrieval ...

  5. Data validation and reconciliation - Wikipedia

    en.wikipedia.org/wiki/Data_validation_and...

    Data reconciliation is a technique that targets at correcting measurement errors that are due to measurement noise, i.e. random errors.From a statistical point of view the main assumption is that no systematic errors exist in the set of measurements, since they may bias the reconciliation results and reduce the robustness of the reconciliation.

  6. Training, validation, and test data sets - Wikipedia

    en.wikipedia.org/wiki/Training,_validation,_and...

    A training data set is a data set of examples used during the learning process and is used to fit the parameters (e.g., weights) of, for example, a classifier. [9] [10]For classification tasks, a supervised learning algorithm looks at the training data set to determine, or learn, the optimal combinations of variables that will generate a good predictive model. [11]

  7. 2 men accused of operating drones 'dangerously close' to ...

    www.aol.com/2-men-arrested-hazardous-drone...

    Mayorkas said Sunday that more than 1 million drones are registered in the U.S., that there are thousands of recreational and commercial drones flown every day − and that a 2023 FAA rule allowed ...

  8. Regular expression - Wikipedia

    en.wikipedia.org/wiki/Regular_expression

    In Python and some other implementations ... Common applications include data validation, ... For example, the set of examples {1, 10, 100}, and negative set (of ...

  9. Mortgage and refinance rates for Nov. 14, 2024: Average rates ...

    www.aol.com/finance/mortgage-and-refinance-rates...

    The current average rate for a 30-year fixed mortgage is 6.88% for purchase and 6.90% for refinance — down 1 basis point from 6.89% for purchase and 3 basis points from 6.93% for refinance last ...