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  2. Early stopping - Wikipedia

    en.wikipedia.org/wiki/Early_stopping

    In machine learning, early stopping is a form of regularization used to avoid overfitting when training a model with an iterative method, such as gradient descent. Such methods update the model to make it better fit the training data with each iteration.

  3. Generalization error - Wikipedia

    en.wikipedia.org/wiki/Generalization_error

    Overfitting occurs when the learned function becomes sensitive to the noise in the sample. As a result, the function will perform well on the training set but not perform well on other data from the joint probability distribution of x {\displaystyle x} and y {\displaystyle y} .

  4. 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]

  5. Bootstrap aggregating - Wikipedia

    en.wikipedia.org/wiki/Bootstrap_aggregating

    Requires much more time to train the data compared to decision trees. Having a large forest can quickly begin to decrease the speed in which one's program operates because it has to traverse much more data even though each tree is using a smaller set of samples and features. Works well with non-linear data.

  6. Regularization perspectives on support vector machines

    en.wikipedia.org/wiki/Regularization...

    This traditional geometric interpretation of SVMs provides useful intuition about how SVMs work, but is difficult to relate to other machine-learning techniques for avoiding overfitting, like regularization, early stopping, sparsity and Bayesian inference.

  7. Video shows terrifying rockslide in Colorado that forced ...

    www.aol.com/news/video-shows-terrifying...

    A major rockslide prompted two highways to be shut down in Colorado over the weekend and witnesses captured the frightening moment on video. Highways 96 and 165 from Wetmore to Westcliffe in ...

  8. Data augmentation - Wikipedia

    en.wikipedia.org/wiki/Data_augmentation

    Data augmentation is a statistical technique which allows maximum likelihood estimation from incomplete data. [1] [2] Data augmentation has important applications in Bayesian analysis, [3] and the technique is widely used in machine learning to reduce overfitting when training machine learning models, [4] achieved by training models on several slightly-modified copies of existing data.

  9. Chicago teenager in a coma after family shot at in Mexico; 3 ...

    www.aol.com/news/chicago-teenager-coma-family...

    A Chicago teenager is in a coma and three of his family members are dead after the group was shot at while vacationing in Mexico last week, according to the U.S. State Department and local reports ...