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  1. Machine learning data refers to datasets used to train and evaluate machine learning models, and you can find a variety of datasets on platforms like the UCI Machine Learning Repository and Kaggle.

    Understanding Machine Learning Data

    Machine learning data consists of input data and corresponding output data, often referred to as "ground truth." This data is essential for training models to recognize patterns and make predictions. The quality and organization of the dataset significantly impact the performance of the machine learning model.
    1. UCI Machine Learning Repository:
    1. Kaggle:
    1. Additional Resources:

    Conclusion

    When searching for machine learning data, consider the type of problem you are trying to solve and the characteristics of the dataset. Both the UCI Machine Learning Repository and Kaggle are excellent starting points for finding high-quality datasets that can help you train and evaluate your machine learning models effectively.
  2. Kaggle: Your Machine Learning and Data Science Community

    Join over 28 M+ machine learners to share, stress test, and stay up-to-date on all the latest ML techniques and technologies. Discover a huge repository of community-published models, data …

  3. マシンラーニングとは?ディープラーニングとの違 …

    2025年10月7日 · マシンラーニング(機械学習)とは、蓄積されたデータをもとに、機械自らが反復的に学習し分析や予測を行うことです。

    欠落単語:
    • Data
    次が必須:
  4. OpenML

    Learn from millions of reproducible machine learning experiments on thousands of datasets to make informed decisions. Easily import and export datasets, pipelines, and experiments from …

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