Algorithms

Examples on how to use SageMaker’s built-in algorithms.

Image processing

SageMaker provides algorithms that are used for image processing.

image_classification

object_detection

semantic_segmentation

Text processing

SageMaker provides algorithms that are tailored to the analysis of texts and documents used in natural language processing and translation.

blazingtext

lda

ntm

seq2seq

Time series processing

SageMaker DeepAR algorithm is useful for processing time series data.

deepar

linear_learner

Supervised learning algorithms

Amazon SageMaker provides several built-in general purpose algorithms that can be used for either classification or regression problems.

factorization_machines

knn

linear_learner

xgboost

Basic

Advanced

Unsupervised learning algorithms

Amazon SageMaker provides several built-in algorithms that can be used for a variety of unsupervised learning tasks such as clustering, dimension reduction, pattern recognition, and anomaly detection.

ip_insights

kmeans

pca

rcf

Feature engineering

object2vec