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These datasets are used in machine learning (ML) research and have been cited in peer-reviewed academic journals. Datasets are an integral part of the field of machine learning. Major advances in this field can result from advances in learning algorithms (such as deep learning), computer hardware, and, less-intuitively, the availability of high ...
Kaggle is a data science competition platform and online community for data scientists and machine learning practitioners under Google LLC.Kaggle enables users to find and publish datasets, explore and build models in a web-based data science environment, work with other data scientists and machine learning engineers, and enter competitions to solve data science challenges.
The CIFAR-10 dataset (Canadian Institute For Advanced Research) is a collection of images that are commonly used to train machine learning and computer vision algorithms. It is one of the most widely used datasets for machine learning research. [ 1 ][ 2 ] The CIFAR-10 dataset contains 60,000 32x32 color images in 10 different classes. [ 3 ]
MNIST database. The MNIST database (Modified National Institute of Standards and Technology database[ 1 ]) is a large database of handwritten digits that is commonly used for training various image processing systems. [ 2 ][ 3 ] The database is also widely used for training and testing in the field of machine learning. [ 4 ][ 5 ] It was created ...
ImageNet. The ImageNet project is a large visual database designed for use in visual object recognition software research. More than 14 million [ 1 ][ 2 ] images have been hand-annotated by the project to indicate what objects are pictured and in at least one million of the images, bounding boxes are also provided. [ 3 ]
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]
v. t. e. Machine learning (ML) is a field of study in artificial intelligence concerned with the development and study of statistical algorithms that can learn from data and generalize to unseen data, and thus perform tasks without explicit instructions. [1]
MEDICIS. Produces isotopes for medical purposes. The Large Hadron Collider (LHC) is the world's largest and highest-energy particle accelerator. [ 1 ][ 2 ] It was built by the European Organization for Nuclear Research (CERN) between 1998 and 2008 in collaboration with over 10,000 scientists and hundreds of universities and laboratories across ...