Difference between revisions of "Machine learning (ML)"
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[[wikipedia:Machine learning]] is the study of computer algorithms that can improve automatically through experience and by the use of data. | [[wikipedia:Machine learning]] is the study of computer algorithms that can improve automatically through experience and by the use of data. | ||
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+ | == Related Amazon services == | ||
+ | * [[AWS Forecast]] (Aug 2019) | ||
== Related terms == | == Related terms == | ||
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* [[TensorFlow]] (2015) | * [[TensorFlow]] (2015) | ||
* [[Scikit-learn]] (2007) | * [[Scikit-learn]] (2007) | ||
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* [[Torch (machine learning)]] (2002) | * [[Torch (machine learning)]] (2002) | ||
* [[Amazon Kendra]] ([[2020]]) [[search]] service | * [[Amazon Kendra]] ([[2020]]) [[search]] service |
Revision as of 09:22, 22 November 2021
wikipedia:Machine learning is the study of computer algorithms that can improve automatically through experience and by the use of data.
Related Amazon services
- AWS Forecast (Aug 2019)
Related terms
- Kubeflow (2018)
- PyTorch (2016)
- Amazon Sagemaker (2017)
- TensorFlow (2015)
- Scikit-learn (2007)
- Torch (machine learning) (2002)
- Amazon Kendra (2020) search service
- Amazon Macie for S3 analisys
See also
- Machine learning, Deep learning, AWS Sagemaker, PyTorch, Kubeflow, TensorFlow, Keras, Torch, Spark ML, Tinygrad, Apple Neural Engine, Scikit-learn, MNIST, MLOps, AutoML, ClearML, PostgresML, AWS Batch, Transformer, Diffusion, Backpropagation, JAX, Vector database, LLM, The Forrester Wave: AI/ML Platforms
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