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Raghav Dhall
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documentation: remove Other tab in Built-in algorithms section and minor changes
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doc/algorithms/index.rst

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Built-in Algorithms
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######################
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Amazon SageMaker provides implementations of some common machine learning algorithms optimized for GPU architecture and massive datasets.
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Built-in algorithms are offered in 2 modes:
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* Container mode algorithms offered through :ref:`Estimators <estimators>` & :ref:`Amazon Estimators <amazon_estimators>`
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* Script mode algorithms based on `pre-built SageMaker Docker Images <https://docs.aws.amazon.com/sagemaker/latest/dg/docker-containers-prebuilt.html>`__ offered through Estimators
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.. toctree::
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:maxdepth: 2
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sagemaker.amazon.amazon_estimator
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tabular/index
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text/index
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time_series/index
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unsupervised/index
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vision/index
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other/index

doc/algorithms/other/index.rst

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doc/algorithms/other/sagemaker.amazon.amazon_estimator.rst renamed to doc/algorithms/sagemaker.amazon.amazon_estimator.rst

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.. _amazon_estimators:
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Amazon Estimators
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doc/algorithms/tabular/index.rst

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linear_learner
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tabtransformer
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xgboost
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object2vec

doc/algorithms/text/index.rst

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blazing_text
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lda
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ntm
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object2vec
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sequence_to_sequence
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text_classification_tensorflow
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sentence_pair_classification_tensorflow
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text_summarization_hugging_face
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text_generation_hugging_face
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machine_translation_hugging_face
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text_embedding_tensorflow_mxnet

doc/algorithms/vision/index.rst

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.. toctree::
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:maxdepth: 2
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image_classification_mxnet
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image_classification_pytorch
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image_classification_tensorflow
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image_classification_pytorch
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image_classification_mxnet
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image_embedding_tensorflow
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instance_segmentation_mxnet
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object_detection_tensorflow
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object_detection_pytorch
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object_detection_mxnet_gluoncv
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object_detection_mxnet
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object_detection_pytorch
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object_detection_tensorflow
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semantic_segmentation_mxnet_gluoncv
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semantic_segmentation_mxnet
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instance_segmentation_mxnet
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image_embedding_tensorflow
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text_embedding_tensorflow_mxnet

doc/api/training/estimators.rst

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.. _estimators:
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Estimators
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