Difference between revisions of "Machine learning (ML)"
Jump to navigation
Jump to search
| Line 1: | Line 1: | ||
[[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. | ||
| − | == | + | == [[Amazon ML]] services == |
* [[Amazon Kendra]] (Dec [[2019]]) [[search]] service | * [[Amazon Kendra]] (Dec [[2019]]) [[search]] service | ||
* [[AWS Forecast]] (Aug 2019) | * [[AWS Forecast]] (Aug 2019) | ||
Revision as of 08:14, 24 November 2021
wikipedia:Machine learning is the study of computer algorithms that can improve automatically through experience and by the use of data.
Amazon ML services
- Amazon Kendra (Dec 2019) search service
- AWS Forecast (Aug 2019)
- Amazon Textract (May 2019)
- Amazon SageMaker (Nov 2017)
- Amazon Macie (Aug 2017) for S3 analisys
Related terms
- Kubeflow (2018)
- PyTorch (2016)
- Amazon Sagemaker (2017)
- TensorFlow (2015)
- Scikit-learn (2007)
- Torch (machine learning) (2002)
See also
- AWS ML: Amazon SageMaker, Amazon Kendra, AWS Forecast, Amazon Macie, Amazon Textract, Amazon SageMaker Canvas
- 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
Advertising:
