Machine learning data sets are crucial for training and testing algorithms. Below is a list of some popular data sets used in the field of machine learning.
MNIST Database: A large database of handwritten digits commonly used for training various image processing systems.
CIFAR-10: A set of 60,000 32x32 color images in 10 different classes, such as airplanes, cars, birds, cats, deer, dogs, frogs, horses, ships, and trucks.
UCI Machine Learning Repository: A collection of databases, domain theories, and data generators that is used by the machine learning community.
Kaggle Datasets: A platform where data scientists can find and share datasets.
For more information about data sets and their applications, check out our Data Science Tutorials.
Useful Resources
If you're interested in learning more about machine learning, you might want to explore our Machine Learning Tutorials.