Difference between revisions of "Machine learning (ML)"
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== [[Amazon ML]] services == | == [[Amazon ML]] services == | ||
| − | + | {{AWS ML TOC}} | |
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== Related terms == | == Related terms == | ||
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* [[Scikit-learn]] (2007) | * [[Scikit-learn]] (2007) | ||
* [[Torch (machine learning)]] (2002) | * [[Torch (machine learning)]] (2002) | ||
| + | * [[PostgresML]] | ||
| + | * [[Mercedes ML]] | ||
== See also == | == See also == | ||
| + | * {{PyTorch}} | ||
* {{AWS ML}} | * {{AWS ML}} | ||
* {{ML}} | * {{ML}} | ||
Latest revision as of 00:57, 28 September 2023
wikipedia:Machine learning is the study of computer algorithms that can improve automatically through experience and by the use of data.
Amazon ML services[edit]
- Amazon Kendra (Dec 2019) search service
- AWS Forecast (Aug 2019)
- Amazon Textract (May 2019)
- Amazon SageMaker Neo
- Amazon SageMaker (Nov 2017)
- Amazon SageMaker Canvas
- Amazon Macie (Aug 2017) for S3 analysis
- AWS Batch
Related terms[edit]
- Kubeflow (2018)
- PyTorch (2016)
- Amazon Sagemaker (2017)
- TensorFlow (2015)
- Scikit-learn (2007)
- Torch (machine learning) (2002)
- PostgresML
- Mercedes ML
See also[edit]
- Machine learning: PyTorch, ONNX,
collect_env.py - 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
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