10 Popular Machine Learning Datasets, Explained

In this month's AI 101, we're taking a look at 10 popular datasets that you can use to improve your machine learning skills. Sign up for Brilliant's Introduction to Neural Networks course at http://brilliant.org/jordan Twitter - http://twitter.com/jordanbharrod Facebook - http://www.facebook.com/jordanbharrod Instagram - http://www.instagram.com/jordanbharrod Thank you to Kasia, Jeff, Gerald, Milan, Ian, Becky, Jino, Daniel, Narskogr, Jason, and Mariano for being $5+/month Patrons! Sources: Boston Housing Prices Dataset - https://www.cs.toronto.edu/~delve/data/boston/bostonDetail.html Iris Dataset - https://archive.ics.uci.edu/ml/datasets/iris Wisconsin Breast Cancer Dataset - https://archive.ics.uci.edu/ml/datasets/Breast+Cancer+Wisconsin+(Diagnostic) MNIST - https://en.wikipedia.org/wiki/MNIST_database Fashion MNIST - https://github.com/zalandoresearch/fashion-mnist CIFAR-10 - https://www.cs.toronto.edu/~kriz/cifar.html ImageNet - http://www.image-net.org/ YouTube-8M - https://research.google.com/youtube8m/ Twitter Sentiment Analysis - http://www.sentiment140.com/ 20 Newsgroups - http://qwone.com/~jason/20Newsgroups/ Google Public Datasets - https://research.google/tools/datasets/ Kaggle Datasets - https://www.kaggle.com/datasets UCI Datasets - https://archive.ics.uci.edu/ml/index.php