Algorithms
Examples on how to use SageMaker’s built-in algorithms.
Image processing
SageMaker provides algorithms that are used for image processing.
image_classification
- Using SageMaker Image Classification with Amazon Elastic Inference
- Image classification training with image format
- End-to-End Incremental Training Image Classification Example
- Image classification training with image format demo
- Image classification transfer learning demo
- Image classification transfer learning demo (SageMaker SDK)
- End-to-End Multiclass Image Classification Example
- End-to-End Multiclass Image Classification Example with SageMaker SDK and SageMaker Neo
- Image classification multi-label 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
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.