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  2. 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]

  3. List of datasets for machine-learning research - Wikipedia

    en.wikipedia.org/wiki/List_of_datasets_for...

    Data from nine subjects collected using P300-based brain-computer interface for disabled subjects. Split into four sessions for each subject. MATLAB code given. 1,224 Text Classification 2008 [264] [265] U. Hoffman et al. Heart Disease Data Set Attributed of patients with and without heart disease.

  4. Synthetic data - Wikipedia

    en.wikipedia.org/wiki/Synthetic_data

    Synthetic data is generated to meet specific needs or certain conditions that may not be found in the original, real data. One of the hurdles in applying up-to-date machine learning approaches for complex scientific tasks is the scarcity of labeled data, a gap effectively bridged by the use of synthetic data, which closely replicates real experimental data. [3]

  5. Procedural generation - Wikipedia

    en.wikipedia.org/wiki/Procedural_generation

    Using procedural generation in games had origins in the tabletop role playing game (RPG) venue. [4] The leading tabletop system, Advanced Dungeons & Dragons, provided ways for the "dungeon master" to generate dungeons and terrain using random die rolls, expanded in later editions with complex branching procedural tables.

  6. scikit-learn - Wikipedia

    en.wikipedia.org/wiki/Scikit-learn

    scikit-learn (formerly scikits.learn and also known as sklearn) is a free and open-source machine learning library for the Python programming language. [3] It features various classification, regression and clustering algorithms including support-vector machines, random forests, gradient boosting, k-means and DBSCAN, and is designed to interoperate with the Python numerical and scientific ...

  7. Reddit co-founder: The AI revolution is 'bigger than the ...

    www.aol.com/finance/reddit-co-founder-ai...

    The rise of artificial intelligence represents a major turning point for tech that's unparalleled in recent history, said Alexis Ohanian, Reddit co-founder and founder of VC firm Seven Seven Six.

  8. Generating function - Wikipedia

    en.wikipedia.org/wiki/Generating_function

    In mathematics, a generating function is a representation of an infinite sequence of numbers as the coefficients of a formal power series.Generating functions are often expressed in closed form (rather than as a series), by some expression involving operations on the formal series.

  9. AI death calculator can predict when you'll die... with eerie ...

    www.aol.com/ai-death-calculator-predict-youll...

    An AI death calculator can now tell you when you’ll die — and it’s eerily accurate. The tool, called Life2vec, can predict life expectancy based on its study of data from 6 million Danish ...

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