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thanks for your interest in the built-in algorithms! You can find research papers in the documentation of many of them. And documentation page has a section "how it works" explaining the science of every algorithm. For example:
- BlazingText: BlazingText: Scaling and Accelerating Word2Vec using Multiple GPUs, Gupta et Khare
- DeepAR DeepAR: Probabilistic Forecasting with Autoregressive Recurrent Networks, Salinas et al.
- Factorization Machines
- IP Insights
- KMeans
- KNN
- LDA
- Linear Learner
- NTM
- Object2Vec
- Object Detection (it's an SSD model)
- PCA
- Random Cut Forest: Robust Random Cut Forest Based Anomaly Detection On Streams, Guha et al
- Semantic Segmentation
- Seq2seq
- XGBoost
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AWS 공식업데이트됨 2년 전
Thank you very much for the swift response; the links to the research papers are exactly the type of information I am looking for. However, let's take the paper "BlazingText: Scaling and Accelerating Word2Vec using Multiple GPUs" as an example: Where exactly in the AWS documentation would I find a link to it? Is there a central place to access the foundational papers for the different algorithms?
As Oliver mentioned, the SageMaker developer guide links to the appropriate papers (for example, see BlazingText) or has a 'How it works' section (for example, K-means). For information on all built-in algorithms, see here.