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  2. Server Name Indication - Wikipedia

    en.wikipedia.org/wiki/Server_Name_Indication

    In March 2020, ESNI was reworked into the ECH extension, after analysis demonstrated that encrypting only the SNI is insufficient. For example, specifications permit the Pre-Shared Key extension to contain any data to facilitate session resumption, even transmission of a cleartext copy of exactly the same server name that is encrypted by ESNI.

  3. Automatic Certificate Management Environment - Wikipedia

    en.wikipedia.org/wiki/Automatic_Certificate...

    The ISRG provides free and open-source reference implementations for ACME: certbot is a Python-based implementation of server certificate management software using the ACME protocol, [6] [7] [8] and boulder is a certificate authority implementation, written in Go. [9] Since 2015 a large variety of client options have appeared for all operating ...

  4. Requests (software) - Wikipedia

    en.wikipedia.org/wiki/Requests_(software)

    Requests is an HTTP client library for the Python programming language. [2] [3] Requests is one of the most downloaded Python libraries, [2] with over 300 million monthly downloads. [4] It maps the HTTP protocol onto Python's object-oriented semantics. Requests's design has inspired and been copied by HTTP client libraries for other programming ...

  5. 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 ...

  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. 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.

  8. Dana G. Mead - Pay Pals - The Huffington Post

    data.huffingtonpost.com/paypals/dana-g-mead

    From January 2008 to April 2010, if you bought shares in companies when Dana G. Mead joined the board, and sold them when he left, you would have a -27.6 percent return on your investment, compared to a -17.7 percent return from the S&P 500.

  9. Software verification and validation - Wikipedia

    en.wikipedia.org/wiki/Software_verification_and...

    Independent Software Verification and Validation (ISVV) is targeted at safety-critical software systems and aims to increase the quality of software products, thereby reducing risks and costs throughout the operational life of the software. The goal of ISVV is to provide assurance that software performs to the specified level of confidence and ...