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  2. Precision and recall - Wikipedia

    en.wikipedia.org/wiki/Precision_and_recall

    In a classification task, the precision for a class is the number of true positives (i.e. the number of items correctly labelled as belonging to the positive class) divided by the total number of elements labelled as belonging to the positive class (i.e. the sum of true positives and false positives, which are items incorrectly labelled as belonging to the class).

  3. Word2vec - Wikipedia

    en.wikipedia.org/wiki/Word2vec

    Word2vec is a technique in natural language processing (NLP) for obtaining vector representations of words. These vectors capture information about the meaning of the word based on the surrounding words.

  4. Keras - Wikipedia

    en.wikipedia.org/wiki/Keras

    "Keras 3 is a full rewrite of Keras [and can be used] as a low-level cross-framework language to develop custom components such as layers, models, or metrics that can be used in native workflows in JAX, TensorFlow, or PyTorch — with one codebase." [2] Keras 3 will be the default Keras version for TensorFlow 2.16 onwards, but Keras 2 can still ...

  5. 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]

  6. The 3 Most Overpriced Cities in America, According to Gen Z ...

    www.aol.com/finance/3-most-overpriced-cities...

    Barbara Corcoran: If Mortgage Rates Hit This Number, the Market Will "Go Ballistic" 13 Cheap Cryptocurrencies With the Highest Potential Upside for You These 11 Rare Coins Sold for Over $1 Million

  7. Self-supervised learning - Wikipedia

    en.wikipedia.org/wiki/Self-supervised_learning

    From a small number of labeled examples, it learns to predict which word sense of a polysemous word is being used at a given point in text. DirectPred is a NCSSL that directly sets the predictor weights instead of learning it via typical gradient descent. [9] Self-GenomeNet is an example of self-supervised learning in genomics. [18]

  8. Man documents inflated grocery prices in Alaskan hometown ...

    www.aol.com/man-documents-inflated-grocery...

    In the most recent video, Magdanz described his visit to the newest grocery store in Kotzebue, recording some food and drink prices there.. Butter was on sale for $8.14 per pound, a quart of ...

  9. Florida Shelter’s ‘Most Overlooked Dog’ Is 'Losing Her Spirit ...

    www.aol.com/florida-shelter-most-overlooked-dog...

    Karla is the shelter's "longest resident." For every shelter dog out there, we just know there is a human who could be their perfect match.