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

• Amazon SageMaker Object Detection for Bird Species

semantic_segmentation

• Amazon SageMaker Semantic Segmentation Algorithm

Text processing

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

blazingtext

• Learning Word2Vec Word Representations using BlazingText

lda

• An Introduction to SageMaker LDA

ntm

• Introduction to Basic Functionality of NTM

seq2seq

• Machine Translation English-German Example Using SageMaker Seq2Seq

Time series processing

SageMaker DeepAR algorithm is useful for processing time series data.

deepar

• SageMaker/DeepAR demo on electricity dataset
• Predicting driving speed violations with the Amazon SageMaker DeepAR algorithm

Supervised learning algorithms

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

factorization_machines

• An Introduction to Factorization Machines with MNIST

knn

• Multi-Class Classification using Amazon SageMaker k-Nearest-Neighbors (kNN)

linear_learner

• An Introduction to Linear Learner with MNIST
• Build multiclass classifiers with Amazon SageMaker linear learner

xgboost

Basic

• Multiclass classification with Amazon SageMaker XGBoost algorithm
• Regression with Amazon SageMaker XGBoost algorithm
• Customer Churn Prediction with XGBoost

Advanced

• Train and deploy a regression model with the Amazon SageMaker XGBoost Algorithm using Script Mode
• Regression with Amazon SageMaker XGBoost (Parquet input)

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

• An Introduction to the Amazon SageMaker IP Insights Algorithm

kmeans

• Analyze US census data for population segmentation using Amazon SageMaker
• End-to-End Example with Amazon SageMaker K-Means

pca

• An Introduction to PCA with MNIST

rcf

• An Introduction to SageMaker Random Cut Forests

Feature engineering

object2vec

• An Introduction to SageMaker ObjectToVec model for sequence-sequence embedding